Machine Learning And Mechanics Based Soft Computing Applications

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Machine Learning and Mechanics Based Soft Computing Applications

Author : Thi Dieu Linh Nguyen,Joan Lu
Publisher : Unknown
Page : 0 pages
File Size : 43,7 Mb
Release : 2023
Category : Electronic
ISBN : 9811964513

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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.

Machine Learning and Mechanics Based Soft Computing Applications

Author : Thi Dieu Linh Nguyen,Joan Lu
Publisher : Springer Nature
Page : 323 pages
File Size : 41,8 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. ​

Applied Soft Computing

Author : Samarjeet Borah,Ranjit Panigrahi
Publisher : CRC Press
Page : 286 pages
File Size : 42,8 Mb
Release : 2022-02-03
Category : Computers
ISBN : 9781000406634

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Applied Soft Computing by Samarjeet Borah,Ranjit Panigrahi Pdf

This new volume explores a variety of modern techniques that deal with estimated models and give resolutions to complex real-life issues. Soft computing has played a crucial role not only with theoretical paradigms but is also popular for its pivotal role for designing a large variety of expert systems and artificial intelligence-based applications. Involving the concepts and practices of soft computing in conjunction with other frontier research domains, this book begins with the basics and goes on to explore a variety of modern applications of soft computing in areas such as approximate reasoning, artificial neural networks, Bayesian networks, big data analytics, bioinformatics, cloud computing, control systems, data mining, functional approximation, fuzzy logic, genetic and evolutionary algorithms, hybrid models, machine learning, metaheuristics, neuro fuzzy system, optimization, randomized searches, and swarm intelligence. This book will be helpful to a wide range of readers who wish to learn applications of soft computing approaches. It will be useful for academicians, researchers, students, and machine learning experts who use soft computing techniques and algorithms to develop cutting-edge artificial intelligence-based applications.

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Author : Pandian Vasant
Publisher : IGI Global
Page : 1173 pages
File Size : 46,6 Mb
Release : 2013-08-31
Category : Technology & Engineering
ISBN : 9781466644519

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Handbook of Research on Novel Soft Computing Intelligent Algorithms by Pandian Vasant Pdf

"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher.

Advances in Soft Computing Applications

Author : Shristi Kharola
Publisher : Unknown
Page : 0 pages
File Size : 51,7 Mb
Release : 2023
Category : COMPUTERS
ISBN : 1003425887

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Advances in Soft Computing Applications by Shristi Kharola Pdf

The proclivity of today’s technology to think like humans may be seen in new developing disciplines such as neural computing, fuzzy logic, evolutionary computation, machine learning, and probabilistic reasoning. These strategies are grouped together into one main technique known as "soft computing." This book discusses the most recent soft computing and fuzzy logic-based applications and innovations in industrial advancements, supply chain and logistics, system optimization, decision-making, artificial intelligence, smart systems, and other rapidly evolving technologies. In today’s competitive world, the book provides soft computing solutions to help companies overcome the obstacles posed by sophisticated decision-making systems.

Soft Computing in Machine Learning

Author : Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue
Publisher : Springer
Page : 120 pages
File Size : 51,9 Mb
Release : 2014-07-08
Category : Technology & Engineering
ISBN : 9783319055336

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Soft Computing in Machine Learning by Sang-Yong Rhee,Jooyoung Park,Atsushi Inoue Pdf

As users or consumers are now demanding smarter devices, intelligent systems are revolutionizing by utilizing machine learning. Machine learning as part of intelligent systems is already one of the most critical components in everyday tools ranging from search engines and credit card fraud detection to stock market analysis. You can train machines to perform some things, so that they can automatically detect, diagnose, and solve a variety of problems. The intelligent systems have made rapid progress in developing the state of the art in machine learning based on smart and deep perception. Using machine learning, the intelligent systems make widely applications in automated speech recognition, natural language processing, medical diagnosis, bioinformatics, and robot locomotion. This book aims at introducing how to treat a substantial amount of data, to teach machines and to improve decision making models. And this book specializes in the developments of advanced intelligent systems through machine learning. It consists of 11 contributions that features illumination change detection, generator of electronic educational publications, intelligent call triage system, recognition of rocks at uranium deposits, graphics processing units, mathematical model of hit phenomena, selection and mutation in genetic algorithm, hands and arms motion estimation, application of wavelet network, Kanizsa triangle illusion, and support vector machine regression. Also, it describes how to apply the machine learning for the intelligent systems. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.

Soft Computing and Intelligent Systems

Author : Madan M. Gupta
Publisher : Elsevier
Page : 663 pages
File Size : 55,5 Mb
Release : 1999-10-28
Category : Computers
ISBN : 9780080541334

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Soft Computing and Intelligent Systems by Madan M. Gupta Pdf

The field of soft computing is emerging from the cutting edge research over the last ten years devoted to fuzzy engineering and genetic algorithms. The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science.This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. There is a need for practicing engineers, computer scientists, and system scientists to directly apply "fuzzy" engineering into a wide array of devices and systems.

Neural Networks and Soft Computing

Author : Leszek Rutkowski
Publisher : Springer Science & Business Media
Page : 935 pages
File Size : 45,6 Mb
Release : 2013-03-20
Category : Computers
ISBN : 9783790819021

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Neural Networks and Soft Computing by Leszek Rutkowski Pdf

This volume presents new trends and developments in soft computing techniques. Topics include: neural networks, fuzzy systems, evolutionary computation, knowledge discovery, rough sets, and hybrid methods. It also covers various applications of soft computing techniques in economics, mechanics, medicine, automatics and image processing. The book contains contributions from internationally recognized scientists, such as Zadeh, Bubnicki, Pawlak, Amari, Batyrshin, Hirota, Koczy, Kosinski, Novák, S.-Y. Lee, Pedrycz, Raudys, Setiono, Sincak, Strumillo, Takagi, Usui, Wilamowski and Zurada. An excellent overview of soft computing methods and their applications.

Soft Computing in Interdisciplinary Sciences

Author : S. Chakraverty
Publisher : Springer Nature
Page : 264 pages
File Size : 42,9 Mb
Release : 2021-11-01
Category : Technology & Engineering
ISBN : 9789811647130

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Soft Computing in Interdisciplinary Sciences by S. Chakraverty Pdf

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

Soft Computing in Industrial Applications

Author : Yukinori Suzuki,Seppo J Ovaska,Takeshi Furuhashi
Publisher : Unknown
Page : 692 pages
File Size : 44,7 Mb
Release : 2000-03-15
Category : Electronic
ISBN : 1447105109

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Soft Computing in Industrial Applications by Yukinori Suzuki,Seppo J Ovaska,Takeshi Furuhashi Pdf

Soft Computing

Author : Fred Aminzadeh,Mohammad Jamshidi
Publisher : Prentice Hall
Page : 330 pages
File Size : 52,7 Mb
Release : 1994
Category : Computers
ISBN : CORNELL:31924072251774

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Soft Computing by Fred Aminzadeh,Mohammad Jamshidi Pdf

This volume presents a collection of articles on state-of-the-art soft computing and AI applications that cover broad domains and many disciplines. The authors explain the evolution of the mathematics behind the intelligent systems; consider fuzzy logic and neural network applications; and explore several AI applications.

Machine Learning Algorithms and Applications in Engineering

Author : Prasenjit Chatterjee,Morteza Yazdani,Fransisco de Asís Fernández-Navarro,Javier Pérez-Rodríguez
Publisher : CRC Press is
Page : 0 pages
File Size : 49,6 Mb
Release : 2022
Category : Algorithms
ISBN : 0367612550

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Machine Learning Algorithms and Applications in Engineering by Prasenjit Chatterjee,Morteza Yazdani,Fransisco de Asís Fernández-Navarro,Javier Pérez-Rodríguez Pdf

"Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks"--

Computational Intelligence in Software Modeling

Author : Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain
Publisher : Walter de Gruyter GmbH & Co KG
Page : 282 pages
File Size : 50,8 Mb
Release : 2022-02-21
Category : Computers
ISBN : 9783110709346

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Computational Intelligence in Software Modeling by Vishal Jain,Jyotir Moy Chatterjee,Ankita Bansal,Utku Kose,Abha Jain Pdf

Researchers, academicians and professionals expone in this book their research in the application of intelligent computing techniques to software engineering. As software systems are becoming larger and complex, software engineering tasks become increasingly costly and prone to errors. Evolutionary algorithms, machine learning approaches, meta-heuristic algorithms, and others techniques can help the effi ciency of software engineering.

Cellular Learning Automata: Theory and Applications

Author : Reza Vafashoar,Hossein Morshedlou,Alireza Rezvanian,Mohammad Reza Meybodi
Publisher : Springer Nature
Page : 377 pages
File Size : 45,7 Mb
Release : 2020-07-24
Category : Technology & Engineering
ISBN : 9783030531416

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Cellular Learning Automata: Theory and Applications by Reza Vafashoar,Hossein Morshedlou,Alireza Rezvanian,Mohammad Reza Meybodi Pdf

This book highlights both theoretical and applied advances in cellular learning automata (CLA), a type of hybrid computational model that has been successfully employed in various areas to solve complex problems and to model, learn, or simulate complicated patterns of behavior. Owing to CLA’s parallel and learning abilities, it has proven to be quite effective in uncertain, time-varying, decentralized, and distributed environments. The book begins with a brief introduction to various CLA models, before focusing on recently developed CLA variants. In turn, the research areas related to CLA are addressed as bibliometric network analysis perspectives. The next part of the book presents CLA-based solutions to several computer science problems in e.g. static optimization, dynamic optimization, wireless networks, mesh networks, and cloud computing. Given its scope, the book is well suited for all researchers in the fields of artificial intelligence and reinforcement learning.

Soft Computing in Industrial Applications

Author : Ashraf Saad,Erel Avineri,Keshav Dahal,Muhammad Sarfraz,Rajkumar Roy
Publisher : Springer Science & Business Media
Page : 332 pages
File Size : 42,5 Mb
Release : 2007-05-11
Category : Computers
ISBN : 9783540707042

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Soft Computing in Industrial Applications by Ashraf Saad,Erel Avineri,Keshav Dahal,Muhammad Sarfraz,Rajkumar Roy Pdf

Here is a collection of papers presented at the 11th On-line World Conference on Soft Computing in Industrial Applications, held in September-October 2006. This carefully edited book provides a comprehensive overview of recent advances in the industrial applications of soft computing and covers a wide range of application areas, including data analysis and data mining, computer graphics, intelligent control, systems, pattern recognition, classifiers, as well as modeling optimization.