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Fuzzy-Neuro Systems '98 - Computational Intelligence

Fuzzy-Neuro Systems '98 - Computational Intelligence PDF Author: Wilfried Brauer
Publisher: IOS Press
ISBN: 9781586031305
Category : Computers
Languages : en
Pages : 402

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Book Description

Fuzzy-Neuro Systems '98 - Computational Intelligence

Fuzzy-Neuro Systems '98 - Computational Intelligence PDF Author: Wilfried Brauer
Publisher: IOS Press
ISBN: 9781586031305
Category : Computers
Languages : en
Pages : 402

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Book Description


Fuzzy Logic Control

Fuzzy Logic Control PDF Author: H. B. Verbruggen
Publisher: World Scientific
ISBN: 9789810238254
Category : Technology & Engineering
Languages : en
Pages : 344

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Book Description
Fuzzy logic control has become an important methodology in control engineering. This volume deals with applications of fuzzy logic control in various domains. The contributions are divided into three parts. The first part consists of two state-of-the-art tutorials on fuzzy control and fuzzy modeling. Surveys of advanced methodologies are included in the second part. These surveys address fuzzy decision making and control, fault detection, isolation and diagnosis, complexity reduction in fuzzy systems and neuro-fuzzy methods. The third part contains application-oriented contributions from various fields, such as process industry, cement and ceramics, vehicle control and traffic management, electromechanical and production systems, avionics, biotechnology and medical applications. The book is intended for researchers both from the academic world and from industry.

Do Smart Adaptive Systems Exist?

Do Smart Adaptive Systems Exist? PDF Author: Bogdan Gabrys
Publisher: Springer
ISBN: 3540323740
Category : Technology & Engineering
Languages : en
Pages : 370

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Book Description
Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence. It is therefore not intended as a collection of the most recent research results, but as a practical guide for experts from other areas and industrial users interested in building solutions to their problems using intelligent techniques. One of the main issues covered is an attempt to answer the question of how to select and/or combine suitable intelligent techniques from a large pool of potential solutions. Another attractive feature of the book is that it brings together experts from neural network, fuzzy, machine learning, evolutionary and hybrid systems communities who will provide their views on how these different intelligent technologies have contributed and will contribute to creation of smart adaptive systems of the future.

Fuzzy-Neuro-Systeme '97 - computational intelligence

Fuzzy-Neuro-Systeme '97 - computational intelligence PDF Author: Adolf Grauel
Publisher:
ISBN: 9783896010032
Category : Artificial intelligence
Languages : de
Pages : 587

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Bayesian Field Theory

Bayesian Field Theory PDF Author: Jörg C. Lemm
Publisher: JHU Press
ISBN: 9780801872204
Category : Science
Languages : en
Pages : 442

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Book Description
Ask a traditional mathematician the likely outcome of a coin-toss, and he will reply that no evidence exists on which to base such a prediction. Ask a Bayesian, and he will examine the coin, conclude that it was probably not tampered with, and predict five hundred heads in a thousand tosses; a subsequent experiment would then be used to refine this prediction. The Bayesian approach, in other words, permits the use of prior knowledge when testing a hypothesis. Long the province of mathematicians and statisticians, Bayesian methods are applied in this ground-breaking book to problems in cutting-edge physics. Joerg Lemm offers practical examples of Bayesian analysis for the physicist working in such areas as neural networks, artificial intelligence, and inverse problems in quantum theory. The book also includes nonparametric density estimation problems, including, as special cases, nonparametric regression and pattern recognition. Thought-provoking and sure to be controversial, Bayesian Field Theory will be of interest to physicists as well as to other specialists in the rapidly growing number of fields that make use of Bayesian methods. -- Achim Weiguny, Institut fuer Theoretische Physik

Fuzzy-Neuro Systems '98, Computational Intelligence

Fuzzy-Neuro Systems '98, Computational Intelligence PDF Author: Wilfried Brauer
Publisher:
ISBN: 9783896010100
Category : Computational intelligence
Languages : en
Pages : 384

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Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering PDF Author: Larisa Angstenberger
Publisher: Springer Science & Business Media
ISBN: 940171312X
Category : Mathematics
Languages : en
Pages : 288

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Book Description
Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Computational Intelligence in Systems and Control Design and Applications

Computational Intelligence in Systems and Control Design and Applications PDF Author: S.G. Tzafestas
Publisher: Springer Science & Business Media
ISBN: 9781402003943
Category : Mathematics
Languages : en
Pages : 380

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Book Description
This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications. The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) I fuzzy reasoning (FR). and genetic algorithms (GAs). NNs mimic the distributed functioning of the human brain and consist of many. rather simple. building elements (called artificial neurons) which are controlled by adaptive parameters and are able to incorporate via learning the knowledge provided by the environment, and thus respond intelligently to new stimuli. Fuzzy logic (FL) provides the means to build systems that can reason linguistically under uncertainty like the human experts (common sense reasoning). Both NNs and FL I FR are among the most widely used tools for modeling unknown systems with nonlinear behavior. FL suits better when there is some kind of knowledge about the system. such as, for example, the linguistic information of a human expert. On the other hand. NNs possess unique learning and generalization capabilities that allow the user to construct very accurate models of nonlinear systems simply using input-output data. GAs offer an interesting set of generic tools for systematic random search optimization following the mechanisms of natural genetics. In hybrid Computational Intelligence - based systems these three tools (NNs, FL, GAs) are combined in several synergetic ways producing integrated tools with enhanced learning, generalization. universal approximation. reasoning and optimization abilities.

Machine Intelligence

Machine Intelligence PDF Author: Peter Sincak
Publisher: World Scientific
ISBN: 9789812562531
Category : Computers
Languages : en
Pages : 480

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Book Description
This book brings together the contributions of leading researchers inthe field of machine intelligence, covering areas such as fuzzy logic, neural networks, evolutionary computation and hybrid systems.There is wide coverage of the subject from simple tools, throughindustrial applications, to applications in high-level intelligentsystems which are biologically motivated, such as humanoid robots (andselected parts of these systems, like the visual cortex). Readers willgain a comprehensive overview of the issues in machine intelligence, afield which promises to play a very important role in the informationsociety of the future

Intelligent Systems and Applications

Intelligent Systems and Applications PDF Author: Yaxin Bi
Publisher: Springer
ISBN: 3319333860
Category : Technology & Engineering
Languages : en
Pages : 450

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Book Description
This book is a remarkable collection of chapters covering a wider range of topics, including unsupervised text mining, anomaly and Intrusion Detection, Self-reconfiguring Robotics, application of Fuzzy Logic to development aid, Design and Optimization, Context-Aware Reasoning, DNA Sequence Assembly and Multilayer Perceptron Networks. The twenty-one chapters present extended results from the SAI Intelligent Systems Conference (IntelliSys) 2015 and have been selected based on high recommendations during IntelliSys 2015 review process. This book presents innovative research and development carried out presently in fields of knowledge representation and reasoning, machine learning, and particularly in intelligent systems in a more broad sense. It provides state - of - the - art intelligent methods and techniques for solving real world problems along with a vision of the future research.