Neuro Fuzzy Systeme
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Foundations Of Neuro Fuzzy Systems
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Author : Detlef Nauck
language : en
Publisher:
Release Date : 1997-09-19
Foundations Of Neuro Fuzzy Systems written by Detlef Nauck and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-19 with Computers categories.
Foundations of Neuro-Fuzzy Systems reflects the current trend in intelligent systems research towards the integration of neural networks and fuzzy technology. The authors demonstrate how a combination of both techniques enhances the performance of control, decision-making and data analysis systems. Smarter and more applicable structures result from marrying the learning capability of the neural network with the transparency and interpretability of the rule-based fuzzy system. Foundations of Neuro-Fuzzy Systems highlights the advantages of integration making it a valuable resource for graduate students and researchers in control engineering, computer science and applied mathematics. The authors' informed analysis of practical neuro-fuzzy applications will be an asset to industrial practitioners using fuzzy technology and neural networks for control systems, data analysis and optimization tasks.
Introduction To Neuro Fuzzy Systems
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Author : Robert Fuller
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-05
Introduction To Neuro Fuzzy Systems written by Robert Fuller and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-05 with Computers categories.
Fuzzy sets were introduced by Zadeh (1965) as a means of representing and manipulating data that was not precise, but rather fuzzy. Fuzzy logic pro vides an inference morphology that enables approximate human reasoning capabilities to be applied to knowledge-based systems. The theory of fuzzy logic provides a mathematical strength to capture the uncertainties associ ated with human cognitive processes, such as thinking and reasoning. The conventional approaches to knowledge representation lack the means for rep resentating the meaning of fuzzy concepts. As a consequence, the approaches based on first order logic and classical probablity theory do not provide an appropriate conceptual framework for dealing with the representation of com monsense knowledge, since such knowledge is by its nature both lexically imprecise and noncategorical. The developement of fuzzy logic was motivated in large measure by the need for a conceptual framework which can address the issue of uncertainty and lexical imprecision. Some of the essential characteristics of fuzzy logic relate to the following [242]. • In fuzzy logic, exact reasoning is viewed as a limiting case of ap proximate reasoning. • In fuzzy logic, everything is a matter of degree. • In fuzzy logic, knowledge is interpreted a collection of elastic or, equivalently, fuzzy constraint on a collection of variables. • Inference is viewed as a process of propagation of elastic con straints. • Any logical system can be fuzzified. There are two main characteristics of fuzzy systems that give them better performance für specific applications.
Fuzzy And Neuro Fuzzy Systems In Medicine
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Author : Horia-Nicolai L Teodorescu
language : en
Publisher: CRC Press
Release Date : 1998-09-30
Fuzzy And Neuro Fuzzy Systems In Medicine written by Horia-Nicolai L Teodorescu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-09-30 with Medical categories.
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems. After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications. Chapters discuss: a historical perspective of fuzzy systems technology and neuro-fuzzy systems technology in medicine and biology the relationship of fuzzy logic to the human brain analysis and classification of signals using fuzzy, neuro-fuzzy, and wavelet methods wavelet analysis combined with neuro-fuzzy systems in contouring gated SPECT images of ventricles a detailed application based on a knowledge-based system that uses fuzzy techniques, multispectral analysis, and image processing algorithms applications in the field of dentistry a dedicated system for myocardial ischemia diagnosis a typical expert system used in intensive care units designing and tuning fuzzy rules for medical diagnosis knowledge processing, decision-making, and control strategies combined with control methods in medical equipment current technological problems and trends in the neural and fuzzy hardware implementation field The well-balanced chapters cover all the major fields in medicine and biomedical engineering, including imaging, prosthetics, psychology, medical equipment, diagnosis, and treatment.
Deep Neuro Fuzzy Systems With Python
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Author : Himanshu Singh
language : en
Publisher: Apress
Release Date : 2019-11-30
Deep Neuro Fuzzy Systems With Python written by Himanshu Singh and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Computers categories.
Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You’ll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You’ll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them. In the last section of the book you’ll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You’ll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications. What You’ll Learn Understand fuzzy logic, membership functions, fuzzy relations, and fuzzy inference Review neural networks, back propagation, and optimization Work with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy system Who This book Is For Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic.
Computational Intelligence Systems And Applications
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Author : Marian B. Gorzalczany
language : en
Publisher: Physica
Release Date : 2012-12-06
Computational Intelligence Systems And Applications written by Marian B. Gorzalczany and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Computers categories.
Traditional Artificial Intelligence (AI) systems adopted symbolic processing as their main paradigm. Symbolic AI systems have proved effective in handling problems characterized by exact and complete knowledge representation. Unfortunately, these systems have very little power in dealing with imprecise, uncertain and incomplete data and information which significantly contribute to the description of many real world problems, both physical systems and processes as well as mechanisms of decision making. Moreover, there are many situations where the expert domain knowledge (the basis for many symbolic AI systems) is not sufficient for the design of intelligent systems, due to incompleteness of the existing knowledge, problems caused by different biases of human experts, difficulties in forming rules, etc. In general, problem knowledge for solving a given problem can consist of an explicit knowledge (e.g., heuristic rules provided by a domain an implicit, hidden knowledge "buried" in past-experience expert) and numerical data. A study of huge amounts of these data (collected in databases) and the synthesizing of the knowledge "encoded" in them (also referred to as knowledge discovery in data or data mining), can significantly improve the performance of the intelligent systems designed.
Fuzzy And Neuro Fuzzy Intelligent Systems
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Author : Ernest Czogała
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-04-06
Fuzzy And Neuro Fuzzy Intelligent Systems written by Ernest Czogała and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-06 with Business & Economics categories.
The book provides an introduction to basic concepts as well as some recent advancements in fuzzy set theory, approximate reasoning, artificial neural networks and clustering methods. These methodologies create together the so-called soft computing, which is part of a computational approach to system intelligence. The book deals with an overview of fuzzy set theory, foundations for approximate reasoning principles, specific equivalence of inference results using logical conjunctive interpretations of if-then rules, supervised and unsupervised artificial neural networks, a new generalized conditional fuzzy clustering method, artificial neural networks-based fuzzy inference system with parameterized consequences in if-then rules, MATLAB(R) m-files implementation of neuro-fuzzy systems, detailed study of neuro-fuzzy systems applications.
International Symposium On Neuro Fuzzy Systems
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Author :
language : en
Publisher:
Release Date : 1996
International Symposium On Neuro Fuzzy Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Computers categories.
This is a first conference describing advances in designing and using integrated circuits in control system. The application of neural networks on VLSI is explored. The Use of fuzzy logic in integrated circuit product controllers is explored.
Fuzzy And Neuro Fuzzy Intelligent Systems
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Author : Ernest Czogala
language : en
Publisher: Physica
Release Date : 2012-08-10
Fuzzy And Neuro Fuzzy Intelligent Systems written by Ernest Czogala and has been published by Physica this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-08-10 with Computers categories.
Intelligence systems. We perfonn routine tasks on a daily basis, as for example: • recognition of faces of persons (also faces not seen for many years), • identification of dangerous situations during car driving, • deciding to buy or sell stock, • reading hand-written symbols, • discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: • diagnosing diseases, • localizing faults in electronic circuits, • optimal moves in chess games. It is possible to design artificial systems to replace or "duplicate" the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.
Neuro Fuzzy Pattern Recognition
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Author : Horst Bunke
language : en
Publisher: World Scientific
Release Date : 2000
Neuro Fuzzy Pattern Recognition written by Horst Bunke and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000 with Computers categories.
Neural networks and fuzzy techniques are among the most promising approaches to pattern recognition. Neuro-fuzzy systems aim at combining the advantages of the two paradigms. This book is a collection of papers describing state-of-the-art work in this emerging field. It covers topics such as feature selection, classification, classifier training, and clustering. Also included are applications of neuro-fuzzy systems in speech recognition, land mine detection, medical image analysis, and autonomous vehicle control. The intended audience includes graduate students in computer science and related fields, as well as researchers at academic institutions and in industry.
Fuzzy And Neuro Fuzzy Systems In Medicine
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Author : Horia-Nicolai L Teodorescu
language : en
Publisher: CRC Press
Release Date : 2017-11-22
Fuzzy And Neuro Fuzzy Systems In Medicine written by Horia-Nicolai L Teodorescu and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-22 with Medical categories.
Fuzzy and Neuro-Fuzzy Systems in Medicineprovides a thorough review of state-of-the-art techniques and practices, defines and explains relevant problems, as well as provides solutions to these problems. After an introduction, the book progresses from one topic to another - with a linear development from fundamentals to applications.