Intelligent Systems And Soft Computing

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Intelligent Systems and Soft Computing

Author : Behnam Azvine,Nader Azarmi,Detlef D. Nauck
Publisher : Springer
Page : 358 pages
File Size : 47,6 Mb
Release : 2006-12-30
Category : Computers
ISBN : 9783540449171

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Intelligent Systems and Soft Computing by Behnam Azvine,Nader Azarmi,Detlef D. Nauck Pdf

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

Soft Computing and Intelligent Systems Design

Author : Fakhreddine O. Karray,Clarence W. De Silva
Publisher : Addison Wesley Longman
Page : 592 pages
File Size : 47,9 Mb
Release : 2004
Category : Computers
ISBN : UOM:39015059578040

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Soft Computing and Intelligent Systems Design by Fakhreddine O. Karray,Clarence W. De Silva Pdf

Traditional artificial intelligence (AI) techniques are based around mathematical techniques of symbolic logic, with programming in languages such as Prolog and LISP invented in the 1960s. These are referred to as "crisp" techniques by the soft computing community. The new wave of AI methods seeks inspiration from the world of biology, and is being used to create numerous real-world intelligent systems with the aid of soft computing tools. These new methods are being increasingly taught at the upper end of the curriculum, sometimes as an adjunct to traditional AI courses, and sometimes as a replacement for them. Where a more radical approach is taken and the course is being taught at an introductory level, we have recently published Negnevitsky's book. Karray and Silva will be suitable for the majority of courses which will be found at an advanced level. Karray and de Silva cover the problem of control and intelligent systems design using soft-computing techniques in an integrated manner. They present both theory and applications, including industrial applications, and the book contains numerous worked examples, problems and case studies. Covering the state-of-the-art in soft-computing techniques, the book gives the reader sufficient knowledge to tackle a wide range of complex systems for which traditional techniques are inadequate.

Soft Computing and Intelligent Systems

Author : Madan M. Gupta
Publisher : Elsevier
Page : 639 pages
File Size : 46,5 Mb
Release : 1999-10-28
Category : Computers
ISBN : 008054133X

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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.

Soft Computing for Intelligent Systems

Author : Nikhil Marriwala,C. C Tripathi,Shruti Jain,Shivakumar Mathapathi
Publisher : Springer Nature
Page : 653 pages
File Size : 45,9 Mb
Release : 2021-06-22
Category : Technology & Engineering
ISBN : 9789811610486

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Soft Computing for Intelligent Systems by Nikhil Marriwala,C. C Tripathi,Shruti Jain,Shivakumar Mathapathi Pdf

This book presents high-quality research papers presented at the International Conference on Soft Computing for Intelligent Systems (SCIS 2020), held during 18–20 December 2020 at University Institute of Engineering and Technology, Kurukshetra University, Kurukshetra, Haryana, India. The book encompasses all branches of artificial intelligence, computational sciences and machine learning which is based on computation at some level such as AI-based Internet of things, sensor networks, robotics, intelligent diabetic retinopathy, intelligent cancer genes analysis using computer vision, evolutionary algorithms, fuzzy systems, medical automatic identification intelligence system and applications in agriculture, health care, smart grid and instrumentation systems. The book is helpful for educators, researchers and developers working in the area of recent advances and upcoming technologies utilizing computational sciences in signal processing, imaging, computing, instrumentation, artificial intelligence and their applications.

Intelligent Systems and Computer Technology

Author : D.J. Hemanth,V.D.A. Kumar,S. Malathi
Publisher : IOS Press
Page : 672 pages
File Size : 50,6 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781643681030

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Intelligent Systems and Computer Technology by D.J. Hemanth,V.D.A. Kumar,S. Malathi Pdf

Recent developments in soft-computation techniques have paved the way for handling huge volumes of data, thereby bringing about significant changes and technological advancements. This book presents the proceedings of the 3rd International Conference on Emerging Current Trends in Computing & Expert Technology (COMET 2020), held at Panimalar Engineering College, Chennai, India on 6 and 7 March 2020. The aim of the book is to disseminate cutting-edge developments taking place in the technological fields of intelligent systems and computer technology, thereby assisting researchers and practitioners from both institutions and industry to upgrade their knowledge of the latest developments and emerging areas of study. It focuses on technological innovations and trendsetting initiatives to improve business values, optimize business processes and enable inclusive growth for corporates, industries and education alike. The book is divided into two sections; ‘Next Generation Soft Computing’ is a platform for scientists, researchers, practitioners and academics to present and discuss their most recent innovations, trends and concerns, as well as the practical challenges encountered in the field. The second section, ‘Evolutionary Networking and Communications’ focuses on various aspects of 5G communications systems and networking, including cloud and virtualization solutions, management technologies, and vertical application areas. It brings together the latest technologies from all over the world, and also provides an excellent international forum for the sharing of knowledge and results from theory, methodology and applications in networking and communications. The book will be of interest to all those working in the fields of intelligent systems and computer technology.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
Publisher : Springer Science & Business Media
Page : 855 pages
File Size : 47,8 Mb
Release : 2007-09-20
Category : Technology & Engineering
ISBN : 9783540724322

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques by Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz Pdf

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Soft Computing In Systems And Control Technology

Author : Spyros Tzafestas
Publisher : World Scientific
Page : 510 pages
File Size : 52,9 Mb
Release : 1999-05-21
Category : Technology & Engineering
ISBN : 9789814496438

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Soft Computing In Systems And Control Technology by Spyros Tzafestas Pdf

Soft computing is a branch of computing which, unlike hard computing, can deal with uncertain, imprecise and inexact data. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms. Fuzzy logic contributes the capability of approximate reasoning, neurocomputing offers function approximation and learning capabilities, and genetic algorithms provide a methodology for systematic random search and optimization. These three capabilities are combined in a complementary and synergetic fashion.This book presents a cohesive set of contributions dealing with important issues and applications of soft computing in systems and control technology. The contributions include state-of-the-art material, mathematical developments, fresh results, and how-to-do issues. Among the problems studied via neural, fuzzy, neurofuzzy and genetic methodologies are: data fusion, reinforcement learning, approximation properties, multichannel imaging, signal processing, system optimization, gaming, and several forms of control.The book can serve as a reference for researchers and practitioners in the field. Readers can find in it a large amount of useful and timely information, and thus save considerable effort in searching for other scattered literature.

Soft Computing for Hybrid Intelligent Systems

Author : Oscar Castillo,Patricia Melin,Witold Pedrycz
Publisher : Springer
Page : 448 pages
File Size : 40,6 Mb
Release : 2008-09-10
Category : Computers
ISBN : 9783540708124

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Soft Computing for Hybrid Intelligent Systems by Oscar Castillo,Patricia Melin,Witold Pedrycz Pdf

We describe in this book, new methods and applications of hybrid intelligent systems using soft computing techniques. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and evolutionary al- rithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain a group of papers around a similar subject. The first part consists of papers with the main theme of intelligent control, which are basically papers that use hybrid systems to solve particular problems of control. The second part contains papers with the main theme of pattern recognition, which are basically papers using soft computing techniques for achieving pattern recognition in different applications. The third part contains papers with the themes of intelligent agents and social systems, which are papers that apply the ideas of agents and social behavior to solve real-world problems. The fourth part contains papers that deal with the hardware implementation of intelligent systems for solving particular problems. The fifth part contains papers that deal with modeling, simulation and optimization for real-world applications.

Intelligent Systems and Technologies

Author : Junzo Watada
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 43,6 Mb
Release : 2009-06-17
Category : Mathematics
ISBN : 9783642018848

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Intelligent Systems and Technologies by Junzo Watada Pdf

Intelligent systems and technologies are increasing finding their ways in our daily lives. This book presents a sample of recent research results from key researchers. The contributions include: Introduction to intelligent systems; A Fuzzy Density Analysis of Subgroups by means of DNA Oligonucleotides; Evolution of Cooperating Classification Rules with an Archiving Strategy to Underpin Collaboration; Designing Agents with Dynamic Capability; Localized versus Locality Preserving Representation Methods in Face Recognition Tasks; Invariance Properties of Recurrent Neural Networks; Solving Bioinformatics Problems by Soft Computing Techniques; Transforming an Interactive Expert Code into a Statefull Service and a Multicoreenabled System; Ro-WordNet with Paradigmatic Morphology and Subjectivity Mark-up; Special Cases of Relative Object Qualification using the AMONG Operator; Effective Speaker Tracking Strategies for Multi-party Human-Computer Dialogue; The Fuzzy Interpolative Control for Passive Greenhouses; GPS safety system for airplanes; 3D Collaborative Interfaces for E-learning; Open Projects in Contemporary E-Learning; Software Platform for Archaeological Patrimony Inventory and Management. The book is directed to the graduate students, researchers, professors and the practitioner of intelligent systems.

Soft Computing Based Modeling in Intelligent Systems

Author : Valentina Emilia Balas,János Fodor,Annamária R. Várkonyi-Kóczy
Publisher : Springer
Page : 205 pages
File Size : 47,5 Mb
Release : 2009-03-03
Category : Technology & Engineering
ISBN : 9783642004483

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Soft Computing Based Modeling in Intelligent Systems by Valentina Emilia Balas,János Fodor,Annamária R. Várkonyi-Kóczy Pdf

The book “Soft Computing Based Modeling in Intelligent Systems”contains the - tended works originally presented at the IEEE International Workshop SOFA 2005 and additional papers. SOFA, an acronym for SOFt computing and Applications, is an international wo- shop intended to advance the theory and applications of intelligent systems and soft computing. Lotfi Zadeh, the inventor of fuzzy logic, has suggested the term “Soft Computing.” He created the Berkeley Initiative of Soft Computing (BISC) to connect researchers working in these new areas of AI. Professor Zadeh participated actively in our wo- shop. Soft Computing techniques are tolerant to imprecision, uncertainty and partial truth. Due to the large variety and complexity of the domain, the constituting methods of Soft Computing are not competing for a comprehensive ultimate solution. Instead they are complementing each other, for dedicated solutions adapted to each specific pr- lem. Hundreds of concrete applications are already available in many domains. Model based approaches offer a very challenging way to integrate a priori knowledge into procedures. Due to their flexibility, robustness, and easy interpretability, the soft c- puting applications will continue to have an exceptional role in our technologies. The applications of Soft Computing techniques in emerging research areas show its mat- ity and usefulness. The IEEE International Workshop SOFA 2005 held Szeged-Hungary and Arad- Romania in 2005 has led to the publication of these two edited volumes. This volume contains Soft Computing methods and applications in modeling, optimisation and prediction.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Author : Patricia Melin,Oscar Castillo
Publisher : Springer
Page : 0 pages
File Size : 54,8 Mb
Release : 2010-11-30
Category : Computers
ISBN : 364206325X

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by Patricia Melin,Oscar Castillo Pdf

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.

Intelligent Systems

Author : Chiranji Lal Chowdhary
Publisher : CRC Press
Page : 288 pages
File Size : 46,5 Mb
Release : 2020-01-06
Category : Business & Economics
ISBN : 9780429560040

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Intelligent Systems by Chiranji Lal Chowdhary Pdf

This volume helps to fill the gap between data analytics, image processing, and soft computing practices. Soft computing methods are used to focus on data analytics and image processing to develop good intelligent systems. To this end, readers of this volume will find quality research that presents the current trends, advanced methods, and hybridized techniques relating to data analytics and intelligent systems. The book also features case studies related to medical diagnosis with the use of image processing and soft computing algorithms in particular models. Providing extensive coverage of biometric systems, soft computing, image processing, artificial intelligence, and data analytics, the chapter authors discuss the latest research issues, present solutions to research problems, and look at comparative analysis with earlier results. Topics include some of the most important challenges and discoveries in intelligent systems today, such as computer vision concepts and image identification, data analysis and computational paradigms, deep learning techniques, face and speaker recognition systems, and more.

Intelligent Systems and Soft Computing

Author : Behnam Azvine,Nader Azarmi,Detlef D. Nauck
Publisher : Springer
Page : 358 pages
File Size : 48,5 Mb
Release : 2000-07-26
Category : Computers
ISBN : 3540678379

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Intelligent Systems and Soft Computing by Behnam Azvine,Nader Azarmi,Detlef D. Nauck Pdf

Artificial intelligence has, traditionally focused on solving human-centered problems like natural language processing or common-sense reasoning. On the other hand, for a while now soft computing has been applied successfully in areas like pattern recognition, clustering, or automatic control. The papers in this book explore the possibility of bringing these two areas together. This book is unique in the way it concentrates on building intelligent software systems by combining methods from diverse disciplines, such as fuzzy set theory, neuroscience, agent technology, knowledge discovery, and symbolic artificial intelligence. The first part of the book focuses on foundational aspects and future directions; the second part provides the reader with an overview of recently developed software tools for building flexible intelligent systems; the final section studies developed applications in various fields.

Innovations in Intelligent Systems

Author : Ajith Abraham,Berend Jan van der Zwaag
Publisher : Springer
Page : 486 pages
File Size : 40,8 Mb
Release : 2013-06-29
Category : Technology & Engineering
ISBN : 9783540396154

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Innovations in Intelligent Systems by Ajith Abraham,Berend Jan van der Zwaag Pdf

Innovations in Intelligent Systems is a rare collection of the latest developments in intelligent paradigms such as knowledge-based systems, computational intelligence and hybrid combinations as well as practical applications in engineering, science, business and commerce. The book covers central topics such as intelligent multi-agent systems, data mining, case-based reasoning, and rough sets. Essential techniques to the development of intelligent machines are investigated such as pattern recognition and classification, machine learning, natural language processing, grammar, evolutionary schemes, fuzzy-neural procedures, and intelligent vision. The book also includes useful applications ranging from medical diagnosis and technical/medical language translation, to power demand forecasting and manufacturing plants. Due to its depth and breadth of the coverage and the usefulness of the techniques and applications, this book is a valuable reference for experts and students alike.

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing

Author : Patricia Melin,Oscar Castillo
Publisher : Springer Science & Business Media
Page : 296 pages
File Size : 51,5 Mb
Release : 2005-03-08
Category : Computers
ISBN : 3540241213

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Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing by Patricia Melin,Oscar Castillo Pdf

This monograph describes new methods for intelligent pattern recognition using soft computing techniques including neural networks, fuzzy logic, and genetic algorithms. Hybrid intelligent systems that combine several soft computing techniques are needed due to the complexity of pattern recognition problems. Hybrid intelligent systems can have different architectures, which have an impact on the efficiency and accuracy of pattern recognition systems, to achieve the ultimate goal of pattern recognition. This book also shows results of the application of hybrid intelligent systems to real-world problems of face, fingerprint, and voice recognition. This monograph is intended to be a major reference for scientists and engineers applying new computational and mathematical tools to intelligent pattern recognition and can be also used as a textbook for graduate courses in soft computing, intelligent pattern recognition, computer vision, or applied artificial intelligence.