Last edited by Grosar
Monday, July 27, 2020 | History

1 edition of Intelligent Hybrid Systems found in the catalog.

Intelligent Hybrid Systems

Fuzzy Logic, Neural Networks, and Genetic Algorithms

by Da Ruan

  • 96 Want to read
  • 5 Currently reading

Published by Springer US in Boston, MA .
Written in English

    Subjects:
  • Mathematics,
  • Symbolic and mathematical Logic,
  • Artificial intelligence

  • About the Edition

    Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this volume. This book reviews important concepts and models, and focuses on specific methodologies common to fuzzy systems, neural networks and evolutionary computation. The emphasis is on development of cooperative models of hybrid systems. Included are applications related to intelligent data analysis, process analysis, intelligent adaptive information systems, systems identification, nonlinear systems, power and water system design, and many others. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms provides researchers and engineers with up-to-date coverage of new results, methodologies and applications for building intelligent systems capable of solving large-scale problems.

    Edition Notes

    Statementedited by Da Ruan
    Classifications
    LC ClassificationsQA8.9-10.3
    The Physical Object
    Format[electronic resource] :
    Pagination1 online resource (xix, 354 p.)
    Number of Pages354
    ID Numbers
    Open LibraryOL27046135M
    ISBN 101461378389, 1461561914
    ISBN 109781461378389, 9781461561910
    OCLC/WorldCa851805309

    The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques. Application examples are drawn from domains including industrial control, financial and business modelling, and cognitive : Paperback. This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16,

    The edited volume will cover a wide spectrum of applications including areas such as: robotic dynamic systems, non-linear plants, manufacturing systems, and time series prediction. Keywords Chaos Hybrid Intelligent Systems Navigation Soft Computing algorithms autonom calculus fuzzy control fuzzy logic genetic algorithms intelligent systems. An Intelligent Hybrid Approach for Predicting the Academic Performance of Students using Genetic Algorithms and Neuro Fuzzy System Altyeb Altaher1 and Omar M. Barukab2 1,2Department of Information Technology, Faculty of Computing and Information Technology-Rabigh, King Abdulaziz University, Jeddah, Saudi Arabia SummaryFile Size: KB.

    - Buy Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms book online at best prices in India on Read Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms book reviews & author details and more at Free delivery on qualified : Da Ruan. Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems. The book is divided into two parts. The first part is devoted.


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Intelligent Hybrid Systems by Da Ruan Download PDF EPUB FB2

This timely book brings together leading researchers from the United States, Europe and Asia who are pioneering the theory and application of Intelligent Hybrid Systems. The book provides a definition of hybrid systems, summarises the current state of the art, and presents contributions that detail innovative methods for integrating different intelligent techniques.

Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms. All chapters are original contributions by leading researchers written exclusively for this : $ The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting page reference section of the book is invaluable.

The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into by: Computationally Intelligent Hybrid Systems is the only book to examine the practical issues involved in the creation of high-performance, cost-effective applications using a synthesis of neural networks, fuzzy systems, and evolutionary Intelligent Hybrid Systems book Hardcover.

Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems.

The book is divided into two by: Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic principles, methodologies, and applications of fuzzy systems, neural networks and genetic algorithms.

The book is based on a thorough literature search of recent publications on research and development in hybrid intelligent systems; the resulting page reference section of the book is invaluable.

The book starts with a summary of the five major intelligent technologies and of the issues in and current status of research into them. This book highlights recent research on Hybrid Intelligent Systems and their various practical applications.

It presents 56 selected papers from the 18th International Conference on Hybrid Intelligent Systems (HIS ), which was held at the Instituto Superior de Engenharia do Porto (ISEP), Porto, Portugal from December 13 to 15, Part of the Intelligent Systems Reference Library book series (ISRL, volume 17) Introduction Computational intelligence is an innovative framework for constructing intelligent hybrid architectures involving Neural Networks (NN), Fuzzy Inference Systems (FIS), Probabilistic Reasoning (PR), Evolutionary Computation (EC) and Swarm Intelligence (SI).Cited by: 3.

Introduction This book is devoted to the hybridization of intelligent systems which is a promising research field of modern computational intelligence concerned with the development of the next generation of intelligent systems. From the Publisher: Internationally renowned experts came together to produce this book, which will clarify and define the emerging and significant area of hybridizing intelligent systems.

Each chapter covers the integration of two techniques, such as expert systems and neural networks. Hybrid Intelligent Systems: Analysis and Design (Studies in Fuzziness and Soft Computing series) by Oscar Castillo.

We describe in this book, new methods for analysis and design of hybrid intelligent systems using soft computing techniques. Intelligent Hybrid Systems: Fuzzy Logic, Neural Networks, and Genetic Algorithms is an organized edited collection of contributed chapters covering basic.

(Journal of Intelligent & Fuzzy Systems, Vol. 16, No. 3, ) " these well-written papers serve to offer insight into the powerful combination of soft and hard computing that is now being applied to real-world applications." (ComputingJ ) "This is the first book to treat the subject.

About this book This book includes recent research on Hybrid Intelligent Systems. It presents 35 selected papers from the 17th edition of the International Conference on Hybrid Intelligent Systems (HIS), which was held in Delhi, India from December 14 to 16, About this book The objective of this edited volume is to offer a general view at the recent conceptual developments of Soft Computing (SC) regarded as a general methodology supporting the design of hybrid systems along with their diversified applications to modeling, simulation and control of non-linear dynamical systems.

About this book. Hybrid intelligent systems are becoming a very important problem-solving methodology affecting researchers and practitioners in areas ranging from science and technology to business and commerce.

Book Description. Hybrid architecture for intelligent systems is a new field of artificial intelligence concerned with the development of the next generation of intelligent systems. This volume is the first book to delineate current research interests in hybrid architectures for intelligent systems.

The book is divided into two parts. Hybrid Intelligent Systems for Medical Diagnosis: /ch In this chapter authors describe the application of various soft computing techniques in the field of medical diagnosis.

They also explained new approachesCited by: 5. The International Journal of Hybrid Intelligent Systems (IJHIS) is a peer refereed journal on the theory and applications of hybrid and integrated intelligent systems. The key objective of IJHIS is to provide the academic community with a medium for presenting original research.

strengths. As well as updating the entire book, I have added new chapters on intelligent agents, neural networks, optimization algorithms (especially genetic algorithms), and hybrid systems. A new title was therefore needed to reflect the broader scope of this new edition. Intelligent Systems for Engineers and.

`Overall Intelligent Hybrid Systems is an extemely useful book. It is absolutely essential for anyone attempting to keep with recent developments in soft computing, and in some contexts it may serve as an introductory guide.' International Journal General Systems 3/5(1).Hybrid Intelligent Systems for Medical Diagnosis observe th at as we increase the number of neurons in ANN or me mbership function s in FIS, th e train.