Genetic Fuzzy Systems

Genetic Fuzzy Systems


  • Author : Oscar Cord¢n
  • Publisher : World Scientific
  • Release Date : 2001
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9810240171


Genetic Fuzzy Systems Book Description :

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsburgh and Iterative-learning methods. Finally, it explores hy...

Structural Health Monitoring Using Genetic Fuzzy Systems

Structural Health Monitoring Using Genetic Fuzzy Systems


  • Author : Prashant M. Pawar
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-07-09
  • Genre: Science
  • Pages :
  • ISBN 10 : 0857299077


Structural Health Monitoring Using Genetic Fuzzy Systems Book Description :

Structural health monitoring (SHM) has emerged as a prominent research area in recent years owing to increasing concerns about structural safety, and the need to monitor and extend the lives of existing structures. Structural Health Monitoring Using Genetic Fuzzy Systems elaborates the process of intelligent SHM development and implementation using the evolutionary system. The use of a genetic algorithm automates the development of the fuzzy system, and makes the method easy to use for problems involving a large number of measurements, damage locations and sizes; such problems being typical of SHM. The ideas behind fuzzy logic, genetic algorithms and genetic fuzzy systems are also explained. The functionality of the genetic fuzzy system architecture ...

Genetic Algorithms and Fuzzy Logic Systems
Score: 4
From 3 Ratings

Genetic Algorithms and Fuzzy Logic Systems


  • Author : Elie Sanchez
  • Publisher : World Scientific
  • Release Date : 1997
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9810224230


Genetic Algorithms and Fuzzy Logic Systems Book Description :

Ever since fuzzy logic was introduced by Lotfi Zadeh in the mid-sixties and genetic algorithms by John Holland in the early seventies, these two fields widely been subjects of academic research the world over. During the last few years, they have been experiencing extremely rapid growth in the industrial world, where they have been shown to be very effective in solving real-world problems. These two substantial fields, together with neurocomputing techniques, are recognized as major parts of soft computing: a set of computing technologies already riding the waves of the next century to produce the human-centered intelligent systems of tomorrow; the collection of papers presented in this book shows the way. The book also contains an extensive bibliogr...

Machine Learning

Machine Learning


  • Author : Hojjat Adeli
  • Publisher : John Wiley & Sons Incorporated
  • Release Date : 1995
  • Genre: Computers
  • Pages :
  • ISBN 10 : UOM:39015032215710


Machine Learning Book Description :

This is the only book to apply neural nets, genetic algorithms, and fuzzy set theory to the fast growing field of machine learning. Placing particular emphasis on neural networks, it explores how to integrate them with other technologies to improve their performance. Examples are included for each system discussed....

Trading on the Edge
Score: 5
From 1 Ratings

Trading on the Edge


  • Author : Guido J. Deboeck
  • Publisher : John Wiley & Sons
  • Release Date : 1994-04-14
  • Genre: Business & Economics
  • Pages :
  • ISBN 10 : 0471311006


Trading on the Edge Book Description :

Experts from the world's major financial institutions contributed to this work and have already used the newest technologies. Gives proven strategies for using neural networks, algorithms, fuzzy logic and nonlinear data analysis techniques to enhance profitability. The latest analytical breakthroughs, the impact on modern finance theory and practice, including the best ways for profitably applying them to any trading and portfolio management system, are all covered....

Compensatory Genetic Fuzzy Neural Networks and Their Applications

Compensatory Genetic Fuzzy Neural Networks and Their Applications


  • Author : Yan-Qing Zhang
  • Publisher : World Scientific
  • Release Date : 1998
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9810233493


Compensatory Genetic Fuzzy Neural Networks and Their Applications Book Description :

This book presents a powerful hybrid intelligent system based on fuzzy logic, neural networks, genetic algorithms and related intelligent techniques. The new compensatory genetic fuzzy neural networks have been widely used in fuzzy control, nonlinear system modeling, compression of a fuzzy rule base, expansion of a sparse fuzzy rule base, fuzzy knowledge discovery, time series prediction, fuzzy games and pattern recognition. This effective soft computing system is able to perform both linguistic-word-level fuzzy reasoning and numerical-data-level information processing. The book also proposes various novel soft computing techniques....

NEURAL NETWORKS  FUZZY LOGIC AND GENETIC ALGORITHM
Score: 4
From 1 Ratings

NEURAL NETWORKS FUZZY LOGIC AND GENETIC ALGORITHM


  • Author : S. RAJASEKARAN
  • Publisher : PHI Learning Pvt. Ltd.
  • Release Date : 2003-01-01
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9788120321861


NEURAL NETWORKS FUZZY LOGIC AND GENETIC ALGORITHM Book Description :

This book provides comprehensive introduction to a consortium of technologies underlying soft computing, an evolving branch of computational intelligence. The constituent technologies discussed comprise neural networks, fuzzy logic, genetic algorithms, and a number of hybrid systems which include classes such as neuro-fuzzy, fuzzy-genetic, and neuro-genetic systems. The hybridization of the technologies is demonstrated on architectures such as Fuzzy-Back-propagation Networks (NN-FL), Simplified Fuzzy ARTMAP (NN-FL), and Fuzzy Associative Memories. The book also gives an exhaustive discussion of FL-GA hybridization. Every architecture has been discussed in detail through illustrative examples and applications. The algorithms have been presented in pse...

Fuzzy Logic and Information Fusion

Fuzzy Logic and Information Fusion


  • Author : Tomasa Calvo Sánchez
  • Publisher : Springer
  • Release Date : 2016-05-10
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9783319304212


Fuzzy Logic and Information Fusion Book Description :

This book offers a timely report on key theories and applications of soft-computing. Written in honour of Professor Gaspar Mayor on his 70th birthday, it primarily focuses on areas related to his research, including fuzzy binary operators, aggregation functions, multi-distances, and fuzzy consensus/decision models. It also discusses a number of interesting applications such as the implementation of fuzzy mathematical morphology based on Mayor-Torrens t-norms. Importantly, the different chapters, authored by leading experts, present novel results and offer new perspectives on different aspects of Mayor’s research. The book also includes an overview of evolutionary fuzzy systems, a topic that is not one of Mayor’s main areas of interest, and a fina...

Fusion of Neural Networks  Fuzzy Systems and Genetic Algorithms

Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms


  • Author : Lakhmi C. Jain
  • Publisher : CRC Press
  • Release Date : 2020-01-29
  • Genre: Computers
  • Pages :
  • ISBN 10 : 9781000722949


Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms Book Description :

Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy logic provides a basis for representing uncertain and imprecise knowledge and forms a basis for human reasoning. Neural networks display genuine promise in solving problems, but a definitive theoretical basis does not yet exist for their design. Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural net, fuzzy system, and evolutionary computing in system design that enables its readers to handle complexity - offsetting the demerits of one paradigm by the merits of another. This book presents specific projects where fusion techniques have been applied. The chapters start with the design of a new fuzzy-neural ...

Foundations of Generic Optimization
Score: 5
From 1 Ratings

Foundations of Generic Optimization


  • Author : R. Lowen
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-10-27
  • Genre: Mathematics
  • Pages :
  • ISBN 10 : 9781402066689


Foundations of Generic Optimization Book Description :

This is a comprehensive overview of the basics of fuzzy control, which also brings together some recent research results in soft computing, in particular fuzzy logic using genetic algorithms and neural networks. This book offers researchers not only a solid background but also a snapshot of the current state of the art in this field....