Neural Networks And Fuzzy Logic Control On Personal Computers And Workstations

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Neural Networks and Fuzzy-logic Control on Personal Computers and Workstations

Author : Granino Arthur Korn
Publisher : MIT Press (MA)
Page : 418 pages
File Size : 46,5 Mb
Release : 1995
Category : Computers
ISBN : UOM:39015037338442

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Neural Networks and Fuzzy-logic Control on Personal Computers and Workstations by Granino Arthur Korn Pdf

Neural Networks and Fuzzy-Logic Control introduces a simple integrated environment for programming displays and report generation. It includes the only currently available software that permits combined simulation of multiple neural networks, fuzzy-logic controllers, and dynamic systems such as robots or physiological models. The enclosed educational version of DESIRE/NEUNET differs for the full system mainly in the size of its data area and includes a compiler, two screen editors, color graphics, and many ready-to-run examples. The software lets users or instructors add their own help screens and interactive menus. The version of DESIRE/NEUNET included here is for PCs, viz. 286/287, 386/387, 486DX, Pentium, P6, SX with math coprocessor.

Modelling, Simulation and Control of Non-linear Dynamical Systems

Author : Patricia Melin,Oscar Castillo
Publisher : CRC Press
Page : 149 pages
File Size : 41,7 Mb
Release : 2001-10-25
Category : Mathematics
ISBN : 9781000611960

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Modelling, Simulation and Control of Non-linear Dynamical Systems by Patricia Melin,Oscar Castillo Pdf

These authors use soft computing techniques and fractal theory in this new approach to mathematical modeling, simulation and control of complexion-linear dynamical systems. First, a new fuzzy-fractal approach to automated mathematical modeling of non-linear dynamical systems is presented. It is illustrated with examples on the PROLOG programming la

Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks

Author : Farid U. Dowla,Leah L. Rogers
Publisher : MIT Press
Page : 258 pages
File Size : 44,9 Mb
Release : 1995
Category : Computers
ISBN : 0262041480

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Solving Problems in Environmental Engineering and Geosciences with Artificial Neural Networks by Farid U. Dowla,Leah L. Rogers Pdf

This book, complete with exercises and ANN algorithms, illustrates how ANNs can be used in solving problems in environmental engineering and the geosciences, and provides the necessary tools to get started using these elegant and efficient new techniques.

Soft Computing for Control of Non-Linear Dynamical Systems

Author : Oscar Castillo,Patricia Melin
Publisher : Physica
Page : 231 pages
File Size : 40,5 Mb
Release : 2012-12-06
Category : Computers
ISBN : 9783790818321

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Soft Computing for Control of Non-Linear Dynamical Systems by Oscar Castillo,Patricia Melin Pdf

This book presents a unified view of modelling, simulation, and control of non linear dynamical systems using soft computing techniques and fractal theory. Our particular point of view is that modelling, simulation, and control are problems that cannot be considered apart, because they are intrinsically related in real world applications. Control of non-linear dynamical systems cannot be achieved if we don't have the appropriate model for the system. On the other hand, we know that complex non-linear dynamical systems can exhibit a wide range of dynamic behaviors ( ranging from simple periodic orbits to chaotic strange attractors), so the problem of simulation and behavior identification is a very important one. Also, we want to automate each of these tasks because in this way it is more easy to solve a particular problem. A real world problem may require that we use modelling, simulation, and control, to achieve the desired level of performance needed for the particular application.

Advanced Dynamic-system Simulation

Author : Granino A. Korn
Publisher : John Wiley & Sons
Page : 239 pages
File Size : 45,5 Mb
Release : 2007-03-07
Category : Computers
ISBN : 9780470085158

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Advanced Dynamic-system Simulation by Granino A. Korn Pdf

Learn the latest techniques in programming sophisticated simulation systems This cutting-edge text presents the latest techniques in advanced simulation programming for interactive modeling and simulation of dynamic systems, such as aerospace vehicles, control systems, and biological systems. The author, a leading authority in the field, demonstrates computer software that can handle large simulation studies on standard personal computers. Readers can run, edit, and modify the sample simulations from the text with the accompanying CD-ROM, featuring the OPEN DESIRE program for Linux and Windows. The program included on CD solves up to 40,000 ordinary differential equations and implements exceptionally fast and convenient vector operations. The text begins with an introduction to dynamic-system simulation, including a demonstration of a simple guided-missile simulation. Among the other highlights of coverage are: Models that involve sampled-data operations and sampled-data difference equations, including improved techniques for proper numerical integration of switched variables Novel vector compiler that produces exceptionally fast programs for vector and matrix assignments, differential equations, and difference equations Application of vector compiler to parameter-influence studies and Monte Carlo simulation of dynamic systems Vectorized Monte Carlo simulations involving time-varying noise, derived from periodic pseudorandom-noise samples Vector models of neural networks, including a new pulsed-neuron model Vectorized programs for fuzzy-set controller, partial differential equations, and agro-ecological models replicated at many points of a landscape map This text is intended for graduate-level students, engineers, and computer scientists, particularly those involved in aerospace, control system design, chemical process control, and biological systems. All readers will gain the practical skills they need to design sophisticated simulations of dynamic systems. Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

Modeling and Simulation: Theory and Practice

Author : George A. Bekey,Boris Ja. Kogan
Publisher : Springer Science & Business Media
Page : 293 pages
File Size : 47,8 Mb
Release : 2012-12-06
Category : Science
ISBN : 9781461502357

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Modeling and Simulation: Theory and Practice by George A. Bekey,Boris Ja. Kogan Pdf

Modeling and Simulation: Theory and Practice provides a comprehensive review of both methodologies and applications of simulation and modeling. The methodology section includes such topics as the philosophy of simulation, inverse problems in simulation, simulation model compilers, treatment of ill-defined systems, and a survey of simulation languages. The application section covers a wide range of topics, including applications to environmental management, biology and medicine, neural networks, collaborative visualization and intelligent interfaces. The book consists of 13 invited chapters written by former colleagues and students of Professor Karplus. Also included are several short 'reminiscences' describing Professor Karplus' impact on the professional careers of former colleagues and students who worked closely with him over the years.

Multiple Approaches to Intelligent Systems

Author : Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali
Publisher : Springer
Page : 904 pages
File Size : 52,9 Mb
Release : 2004-05-19
Category : Computers
ISBN : 9783540487654

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Multiple Approaches to Intelligent Systems by Ibrahim F. Imam,Yves Kodratoff,Ayman El-Dessouki,Moonis Ali Pdf

We never create anything, We discover and reproduce. The Twelfth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems has a distinguished theme. It is concerned with bridging the gap between the academic and the industrial worlds of Artificial Intelligence (AI) and Expert Systems. The academic world is mainly concerned with discovering new algorithms, approaches, and methodologies; however, the industrial world is mainly driven by profits, and concerned with producing new products or solving customers’ problems. Ten years ago, the artificial intelligence research gap between academia and industry was very broad. Recently, this gap has been narrowed by the emergence of new fields and new joint research strategies in academia. Among the new fields which contributed to the academic-industrial convergence are knowledge representation, machine learning, searching, reasoning, distributed AI, neural networks, data mining, intelligent agents, robotics, pattern recognition, vision, applications of expert systems, and others. It is worth noting that the end results of research in these fields are usually products rather than empirical analyses and theoretical proofs. Applications of such technologies have found great success in many domains including fraud detection, internet service, banking, credit risk and assessment, telecommunication, etc. Progress in these areas has encouraged the leading corporations to institute research funding programs for academic institutes. Others have their own research laboratories, some of which produce state of the art research.

Interactive Dynamic-System Simulation

Author : Granino Arthur Korn
Publisher : CRC Press
Page : 234 pages
File Size : 53,6 Mb
Release : 1998-10-28
Category : Technology & Engineering
ISBN : 9056991566

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Interactive Dynamic-System Simulation by Granino Arthur Korn Pdf

A hands-on tutorial, covering interactive simulation of dynamical systems such as aerospace vehicles, power plants, chemical processes, control systems, and physiological systems. In practice, simulation experiments are employed for iterative decision-making, whereby programs are run, modified, and run again and again. It is very important to emphasize interactive simulation programming. To this end, the user-friendly Microsoft Windows 95 interface is combined with the DESIRE (Direct Executing Simulation) language. The first chapter introduces dynamical system models and the principles of differential-equation-solving problems. The following chapters provide a tutorial on effective simulation programming, with examples from physics, aerospace, engineering, population dynamics, and physiology. The remaining chapters provide more detailed programming know-how.

The Economics of Complex Spatial Systems

Author : A. Reggiani,P. Nijkamp
Publisher : Elsevier
Page : 283 pages
File Size : 51,9 Mb
Release : 1998-05-05
Category : Social Science
ISBN : 9780444600875

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The Economics of Complex Spatial Systems by A. Reggiani,P. Nijkamp Pdf

This book argues that complexity theory offers new departures for (spatial-) economic modelling. It offers a broad overview of recent advances in non-linear dynamics (catastrophe theory, chaos theory, evolutionary theory and so forth) and illustrates the relevance of this new paradigm on the basis of several illustrations in the area of space-economy. The empirical limitations - inherent in the use of non-linear dynamic systems approaches - are also addressed. Next, the application potential of biocomputing (in particular, neural networks and evolutionary algorithms) is stressed, while various empirical model results are presented. The book concludes with an agenda for further research.

Intelligent Control

Author : Christopher John Harris,Chris G. Moore,Martin Brown
Publisher : World Scientific
Page : 412 pages
File Size : 51,8 Mb
Release : 1993
Category : Computers
ISBN : 9810210426

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Intelligent Control by Christopher John Harris,Chris G. Moore,Martin Brown Pdf

With increasing demands for high precision autonomous control over wide operating envelopes, conventional control engineering approaches are unable to adequately deal with system complexity, nonlinearities, spatial and temporal parameter variations, and with uncertainty. Intelligent Control or self-organising/learning control is a new emerging discipline that is designed to deal with problems. Rather than being model based, it is experiential based. Intelligent Control is the amalgam of the disciplines of Artificial Intelligence, Systems Theory and Operations Research. It uses most recent experiences or evidence to improve its performance through a variety of learning schemas, that for practical implementation must demonstrate rapid learning convergence, be temporally stable, be robust to parameter changes and internal and external disturbances. It is shown in this book that a wide class of fuzzy logic and neural net based learning algorithms satisfy these conditions. It is demonstrated that this class of intelligent controllers is based upon a fixed nonlinear mapping of the input (sensor) vector, followed by an output layer linear mapping with coefficients that are updated by various first order learning laws. Under these conditions self-organising fuzzy logic controllers and neural net controllers have common learning attributes.A theme example of the navigation and control of an autonomous guided vehicle is included throughout, together with a series of bench examples to demonstrate this new theory and its applicability.

Information Technology for Manufacturing

Author : National Research Council,Computer Science and Telecommunications Board,Committee to Study Information Technology and Manufacturing
Publisher : National Academies Press
Page : 190 pages
File Size : 54,9 Mb
Release : 1995-02-27
Category : Technology & Engineering
ISBN : 9780309176712

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Information Technology for Manufacturing by National Research Council,Computer Science and Telecommunications Board,Committee to Study Information Technology and Manufacturing Pdf

This book describes a vision of manufacturing in the twenty-first century that maximizes efficiencies and improvements by exploiting the full power of information and provides a research agenda for information technology and manufacturing that is necessary for success in achieving such a vision. Research on information technology to support product and process design, shop-floor operations, and flexible manufacturing is described. Roles for virtual manufacturing and the information infrastructure are also addressed. A final chapter is devoted to nontechnical research issues.

Fuzzy Sets, Neural Networks, and Soft Computing

Author : Ronald R. Yager
Publisher : Van Nostrand Reinhold Company
Page : 456 pages
File Size : 43,5 Mb
Release : 1994
Category : Computers
ISBN : UOM:39015032583919

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Fuzzy Sets, Neural Networks, and Soft Computing by Ronald R. Yager Pdf

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, ellipsoidal learning and fuzzy throttle control for platoons of smart cars, supervised and unsupervised learning, and propagation and satisfaction of flexible constraints. Annotation copyright by Book News, Inc., Portland, OR

Intelligent Systems Report

Author : Anonim
Publisher : Unknown
Page : 218 pages
File Size : 53,7 Mb
Release : 1995
Category : Artificial intelligence
ISBN : UOM:39015036952490

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Intelligent Systems Report by Anonim Pdf

Fuzzy Logic and Neural Network Handbook

Author : Chi-hau Chen
Publisher : McGraw-Hill Companies
Page : 862 pages
File Size : 49,8 Mb
Release : 1996
Category : Computers
ISBN : UOM:39015037342592

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Fuzzy Logic and Neural Network Handbook by Chi-hau Chen Pdf

A practical reference that presents concise and comprehensive reports on the major activities in fuzzy logic and neural networks, with emphasis on the applications and systems of interest to computer engineers. Each of the 31 chapters focuses on the most important activity of a specific topic, and the chapters are organized into three parts: principles and algorithms; applications; and architectures and systems. The applications for fuzzy logic include home appliance design and manufacturing process; those for neural networks include radar, sonar, and speech signal processing, remote sensing, and electrical power systems. Annotation copyright by Book News, Inc., Portland, OR