Soft Computing Techniques And Applications In Mechanical Engineering

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Application of Soft Computing Techniques in Mechanical Engineering

Author : Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary
Publisher : CRC Press
Page : 301 pages
File Size : 49,9 Mb
Release : 2022-12-14
Category : Technology & Engineering
ISBN : 9781000813418

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Application of Soft Computing Techniques in Mechanical Engineering by Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary Pdf

This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.

Soft Computing Techniques and Applications in Mechanical Engineering

Author : Ram, Mangey,Davim, J. Paulo
Publisher : IGI Global
Page : 336 pages
File Size : 51,7 Mb
Release : 2017-12-29
Category : Technology & Engineering
ISBN : 9781522530367

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Soft Computing Techniques and Applications in Mechanical Engineering by Ram, Mangey,Davim, J. Paulo Pdf

The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in a variety of fields. In particular, these concepts have created significant developments in the engineering field. Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering. Featuring extensive coverage on relevant areas such as thermodynamics, fuzzy computing, and computational intelligence, this publication is an ideal resource for students, engineers, research scientists, and academicians involved in soft computing techniques and applications in mechanical engineering areas.

Application of Soft Computing Techniques in Mechanical Engineering

Author : Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary
Publisher : CRC Press
Page : 289 pages
File Size : 53,9 Mb
Release : 2022-12-14
Category : Technology & Engineering
ISBN : 9781000813371

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Application of Soft Computing Techniques in Mechanical Engineering by Amar Patnaik,Vikas Kukshal,Pankaj Agarwal,Ankush Sharma,Mahavir Choudhary Pdf

This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.

Practical Applications Of Soft Computing In Engineering

Author : Sung-bae Cho
Publisher : World Scientific
Page : 439 pages
File Size : 47,7 Mb
Release : 2001-01-19
Category : Computers
ISBN : 9789814491709

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Practical Applications Of Soft Computing In Engineering by Sung-bae Cho Pdf

Soft computing has been presented not only with the theoretical developments but also with a large variety of realistic applications to consumer products and industrial systems. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program.This book highlights some of the recent developments in practical applications of soft computing in engineering problems. All the chapters have been sophisticatedly designed and revised by international experts to achieve wide but in-depth coverage.

Soft Computing in Smart Manufacturing

Author : Tatjana Sibalija,J. Paulo Davim
Publisher : Walter de Gruyter GmbH & Co KG
Page : 291 pages
File Size : 54,8 Mb
Release : 2021-12-06
Category : Technology & Engineering
ISBN : 9783110693225

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Soft Computing in Smart Manufacturing by Tatjana Sibalija,J. Paulo Davim Pdf

This book aims at addressing the challenges of contemporary manufacturing in Industry 4.0 environment and future manufacturing (aka Industry 5.0), by implementing soft computing as one of the major sub-fields of artificial intelligence. It contributes to development and application of the soft computing systems, including links to hardware, software and enterprise systems, in resolving modern manufacturing issues in complex, highly dynamic and globalized industrial circumstances. It embraces heterogeneous complementary aspects, such as control, monitoring and modeling of different manufacturing tasks, including intelligent robotic systems and processes, addressed by various machine learning and fuzzy techniques; modeling and parametric optimization of advanced conventional and non-conventional, eco-friendly manufacturing processes by using machine learning and evolutionary computing techniques; cybersecurity framework for Internet of Things-based systems addressing trustworthiness and resilience in machine-to-machine and human-machine collaboration; static and dynamic digital twins integration and synchronization in a smart factory environment; STEP-NC technology for a smart machine vision system, and integration of Open CNC with Service-Oriented Architecture for STEP-NC monitoring system in a smart manufacturing. Areas of interest include but are not limited to applications of soft computing to address the following: dynamic process/system modeling and simulation, dynamic process/system parametric optimization, dynamic planning and scheduling, smart, predictive maintenance, intelligent and autonomous systems, improved machine cognition, effective digital twins integration, human-machine collaboration, robots, and cobots.

Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing

Author : Sujata Dash,Subhendu Kumar Pani,Ajith Abraham,Yulan Liang
Publisher : Springer Nature
Page : 443 pages
File Size : 46,5 Mb
Release : 2021-11-05
Category : Technology & Engineering
ISBN : 9783030756574

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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing by Sujata Dash,Subhendu Kumar Pani,Ajith Abraham,Yulan Liang Pdf

This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging field in computer science, automatic control engineering, medicine, biology application, natural environmental engineering, and pattern recognition. Now, the exemplar model for soft computing is human brain. The use of various techniques of soft computing is nowadays successfully implemented in many domestic, commercial, and industrial applications due to the low-cost and very high-performance digital processors and also the decline price of the memory chips. This is the main reason behind the wider expansion of soft computing techniques and its application areas. These computing methods also play a significant role in the design and optimization in diverse engineering disciplines. With the influence and the development of the Internet of things (IoT) concept, the need for using soft computing techniques has become more significant than ever. In general, soft computing methods are closely similar to biological processes than traditional techniques, which are mostly based on formal logical systems, such as sentential logic and predicate logic, or rely heavily on computer-aided numerical analysis. Soft computing techniques are anticipated to complement each other. The aim of these techniques is to accept imprecision, uncertainties, and approximations to get a rapid solution. However, recent advancements in representation soft computing algorithms (fuzzy logic,evolutionary computation, machine learning, and probabilistic reasoning) generate a more intelligent and robust system providing a human interpretable, low-cost, approximate solution. Soft computing-based algorithms have demonstrated great performance to a variety of areas including multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, biomedical and health informatics, etc. Soft computing approaches such as genetic programming (GP), support vector machine–firefly algorithm (SVM-FFA), artificial neural network (ANN), and support vector machine–wavelet (SVM–Wavelet) have emerged as powerful computational models. These have also shown significant success in dealing with massive data analysis for large number of applications. All the researchers and practitioners will be highly benefited those who are working in field of computer engineering, medicine, biology application, signal processing, and mechanical engineering. This book is a good collection of state-of-the-art approaches for soft computing-based applications to various engineering fields. It is very beneficial for the new researchers and practitioners working in the field to quickly know the best performing methods. They would be able to compare different approaches and can carry forward their research in the most important area of research which has direct impact on betterment of the human life and health. This book is very useful because there is no book in the market which provides a good collection of state-of-the-art methods of soft computing-based models for multimedia retrieval, fault tolerance, system modelling, network architecture, Web semantics, big data analytics, time series, and biomedical and health informatics.

Soft Computing Techniques for Engineering Optimization

Author : Kaushik Kumar,Supriyo Roy,J. Paulo Davim
Publisher : CRC Press
Page : 172 pages
File Size : 52,6 Mb
Release : 2019-02-21
Category : Mathematics
ISBN : 9780429620744

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Soft Computing Techniques for Engineering Optimization by Kaushik Kumar,Supriyo Roy,J. Paulo Davim Pdf

This book covers the issues related to optimization of engineering and management problems using soft computing techniques with an industrial outlook. It covers a broad area related to real life complex decision making problems using a heuristics approach. It also explores a wide perspective and future directions in industrial engineering research on a global platform/scenario. The book highlights the concept of optimization, presents various soft computing techniques, offers sample problems, and discusses related software programs complete with illustrations. Features Explains the concept of optimization and relevance to soft computing techniques towards optimal solution in engineering and management Presents various soft computing techniques Offers problems and their optimization using various soft computing techniques Discusses related software programs, with illustrations Provides a step-by-step tutorial on how to handle relevant software for obtaining the optimal solution to various engineering problems

Soft Computing in the Design and Manufacturing of Composite Materials

Author : Dragan Aleksendric,Pierpaolo Carlone
Publisher : Woodhead Publishing
Page : 320 pages
File Size : 46,8 Mb
Release : 2015-01-23
Category : Technology & Engineering
ISBN : 9781782421801

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Soft Computing in the Design and Manufacturing of Composite Materials by Dragan Aleksendric,Pierpaolo Carlone Pdf

Due to problems associated with the design and manufacturing of composite materials, there is a need to introduce computational and intelligent systems engineering methodology in materials engineering. Soft Computing in the Design and Manufacturing of Composite Material offers an intelligent approach to advance material engineering, and significantly improves the process of designing and manufacturing a new material. This title includes chapters covering topics such as soft computing techniques, composite materials engineering, design and manufacturing of composite materials, numerical modeling, prediction, and optimization of the composite materials performance, development of the hybrid models, and control of the composite material performance. Introduction of soft computing in the composite materials engineering Includes accurate and detailed analysis of the current state of the art in the field Development of the intelligent models for design and manufacturing of composite material Details composite material performance prediction Optimization of the manufacturing process of composite materials

Application of Soft Computing Techniques in Civil Engineering

Author : S. M. Yadav
Publisher : MV Learning
Page : 0 pages
File Size : 45,5 Mb
Release : 2018-09-30
Category : Science
ISBN : 9387692817

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Application of Soft Computing Techniques in Civil Engineering by S. M. Yadav Pdf

Presents knowledge and experience of soft computing techniques in civil engineering. The principal concern of the book is to show how soft computing techniques can be applied to solve problems in research and practice.

Advances in Soft Computing

Author : Jose M. Benitez,Oscar Cordon,Frank Hoffmann,Rajkumar Roy
Publisher : Springer Science & Business Media
Page : 385 pages
File Size : 43,5 Mb
Release : 2013-03-09
Category : Computers
ISBN : 9781447137443

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Advances in Soft Computing by Jose M. Benitez,Oscar Cordon,Frank Hoffmann,Rajkumar Roy Pdf

Soft computing embraces methodologies for the development of intelligent systems that have been successfully applied to a large number of real-word problems. This collection of keynote papers, presented at the 7th On-line World Conference on Soft Computing in Engineering Design and Manufacturing, provides a comprehensive overview of recent advances in fuzzy, neural and evolutionary computing techniques and applications in engineering design and manufacturing. Features: - New and highly advanced research results at the forefront of soft computing in engineering design and manufacturing. - Keynote papers by world-renowned researchers in the field. - A good overview of current soft computing research around the world. A collection of methodologies aimed at researchers and professional design and manufacturing engineers who develop and apply intelligent systems in computer engineering.

Machine Learning and Mechanics Based Soft Computing Applications

Author : Thi Dieu Linh Nguyen,Joan Lu
Publisher : Springer Nature
Page : 323 pages
File Size : 50,5 Mb
Release : 2023-03-01
Category : Technology & Engineering
ISBN : 9789811964503

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Machine Learning and Mechanics Based Soft Computing Applications by Thi Dieu Linh Nguyen,Joan Lu Pdf

This book highlights recent advances in the area of machine learning and robotics-based soft computing applications. The book covers various artificial intelligence, machine learning, and mechanics, a mix of mechanical computational engineering work. The current computing era has a huge market/potential for machine learning, robotics, and soft computing techniques and their applications. With this in view, the book shares latest research and cutting-edge applications useful for professionals and researchers in these areas. ​

Proceedings of Fourth International Conference on Soft Computing for Problem Solving

Author : Kedar Nath Das,Kusum Deep,Millie Pant,Jagdish Chand Bansal,Atulya Nagar
Publisher : Springer
Page : 616 pages
File Size : 53,8 Mb
Release : 2014-12-24
Category : Technology & Engineering
ISBN : 9788132222170

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Proceedings of Fourth International Conference on Soft Computing for Problem Solving by Kedar Nath Das,Kusum Deep,Millie Pant,Jagdish Chand Bansal,Atulya Nagar Pdf

The Proceedings of SocProS 2014 serves as an academic bonanza for scientists and researchers working in the field of Soft Computing. This book contains theoretical as well as practical aspects using fuzzy logic, neural networks, evolutionary algorithms, swarm intelligence algorithms, etc., with many applications under the umbrella of ‘Soft Computing’. The book is beneficial for young as well as experienced researchers dealing across complex and intricate real world problems for which finding a solution by traditional methods is a difficult task. The different application areas covered in the Proceedings are: Image Processing, Cryptanalysis, Industrial Optimization, Supply Chain Management, Newly Proposed Nature Inspired Algorithms, Signal Processing, Problems related to Medical and Healthcare, Networking Optimization Problems, etc.

Soft Computing in Engineering Design and Manufacturing

Author : Pravir K. Chawdhry,Rajkumar Roy,Raj K. Pant
Publisher : Springer Science & Business Media
Page : 462 pages
File Size : 55,7 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9781447104278

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Soft Computing in Engineering Design and Manufacturing by Pravir K. Chawdhry,Rajkumar Roy,Raj K. Pant Pdf

Soft Computing has emerged as an important approach towards achieving intelligent computational paradigms where key elements are learning from experience in the presence of uncertainties, fuzzy belief functioos, and ·evolutioo of the computing strategies of the learning agent itself. Fuzzy, neural and evolutionary computing are the three major themes of soft computing. The book presents original research papers dealing with the theory of soft computing and its applicatioos in engineering design and manufacturing. The methodologies have been applied to a large variety of real life problems. Applicatioo of soft computing has provided the opportunity to integrate human like 'vagueness' and real life 'uncertainty' to an otherwise 'hard' computer programme. Now, a computer programme can learn, adapt, and evolve using soft computing. The book identifies the strengths and Iimitatioos of soft cOOlputing techniques, particularly with reference to their engineering applications. The applications range fran design optimisatioo to scheduling and image analysis. Goal optimisatioo with incomplete infmnatioo and under uncertainty is the key to solving real-life problems in design and manufacturing. Soft computing techniques presented in this book address these issues. Computatiooal complexity and efficient implementatioo of these techniques are also major concerns for realising useful industrial applications of soft computing. The different parts in the book also address these issues. The book cootains 9 parts, 8 of which are based 00 papers fran the '2nd On-line World Conference 00 Soft Computing in Engineering Design and Manufacture (WSC2),.

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Author : Ali Ahmadian,Soheil Salahshour
Publisher : CRC Press
Page : 160 pages
File Size : 48,7 Mb
Release : 2021-09-02
Category : Computers
ISBN : 9781000432466

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Soft Computing Approach for Mathematical Modeling of Engineering Problems by Ali Ahmadian,Soheil Salahshour Pdf

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies, the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical methods to simulate the solution function’s behavior This book is intended for system specialists who are interested in dynamic systems that operate at different time scales. The book can be used by engineering students, researchers and professionals in control and finite element fields as well as all engineering, applied mathematics, economics and computer science interested in dynamic and uncertain systems. Ali Ahmadian is a Senior Lecturer at the Institute of IR 4.0, The National University of Malaysia. Soheil Salahshour is an associate professor at Bahcesehir University.

Applying Integration Techniques and Methods in Distributed Systems and Technologies

Author : Kecskemeti, Gabor
Publisher : IGI Global
Page : 351 pages
File Size : 47,9 Mb
Release : 2019-04-12
Category : Computers
ISBN : 9781522582960

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Applying Integration Techniques and Methods in Distributed Systems and Technologies by Kecskemeti, Gabor Pdf

Distributed systems intertwine with our everyday lives. The benefits and current shortcomings of the underpinning technologies are experienced by a wide range of people and their smart devices. With the rise of large-scale IoT and similar distributed systems, cloud bursting technologies, and partial outsourcing solutions, private entities are encouraged to increase their efficiency and offer unparalleled availability and reliability to their users. Applying Integration Techniques and Methods in Distributed Systems is a critical scholarly publication that defines the current state of distributed systems, determines further goals, and presents architectures and service frameworks to achieve highly integrated distributed systems and presents solutions to integration and efficient management challenges faced by current and future distributed systems. Highlighting topics such as multimedia, programming languages, and smart environments, this book is ideal for system administrators, integrators, designers, developers, researchers, and academicians.