Neural Networks And Soft Computing

Author: Leszek Rutkowski
Editor: Springer Science & Business Media
ISBN: 3790819026
File Size: 58,83 MB
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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.
Neural Networks and Soft Computing
Language: en
Pages: 914
Authors: Leszek Rutkowski
Categories: Computers
Type: BOOK - Published: 2013-03-20 - Publisher: Springer Science & Business Media

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
Fuzzy Sets, Neural Networks, and Soft Computing
Language: en
Pages: 440
Authors: Ronald R. Yager, Lotfi Asker Zadeh
Categories: Computers
Type: BOOK - Published: 1994 - Publisher: Thomson Learning

Brings together chapters by experts involved in a new area based on the confluence of genetic algorithms, fuzzy systems, and neural networks. Papers cover the broad ground of fuzzy logic control, neural fuzzy systems, genetic fuzzy systems, process control, and adaptive systems. Topics include the composition of heterogeneous control laws,
Recurrent Neural Networks and Soft Computing
Language: en
Pages: 304
Authors: Mahmoud ElHefnawi, Mohamed Mysara
Categories: Computers
Type: BOOK - Published: 2012-03-30 - Publisher: BoD – Books on Demand

New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from
Neural Networks and Other Soft Computing Techniques with Applications in the Oil Industry
Language: en
Pages: 161
Authors: Fred Aminzadeh, Paul De Groot
Categories: Neural networks (Computer science)
Type: BOOK - Published: 2006 - Publisher:

Books about Neural Networks and Other Soft Computing Techniques with Applications in the Oil Industry
Learning and Soft Computing
Language: en
Pages: 541
Authors: Vojislav Kecman
Categories: Computers
Type: BOOK - Published: 2001 - Publisher: MIT Press

This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms. The