Nonlinear Programming With Feedforward Neural Networks

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Nonlinear Programming With Feedforward Neural Networks

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Author :
language : en
Publisher:
Release Date : 1999

Nonlinear Programming With Feedforward Neural Networks written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1999 with categories.

We provide a practical and effective method for solving constrained optimization problems by successively training a multilayer feedforward neural network in a coupled neural-network/objective-function representation. Nonlinear programming problems are easily mapped into this representation which has a simpler and more transparent method of solution than optimization performed with Hopfield-like networks and poses very mild requirements on the functions appearing in the problem. Simulation results are illustrated and compared with an off-the-shelf optimization tool.

Neural Networks In Optimization

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Author : Xiang-Sun Zhang
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Neural Networks In Optimization written by Xiang-Sun Zhang 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 2013-03-09 with Science categories.

People are facing more and more NP-complete or NP-hard problems of a combinatorial nature and of a continuous nature in economic, military and management practice. There are two ways in which one can enhance the efficiency of searching for the solutions of these problems. The first is to improve the speed and memory capacity of hardware. We all have witnessed the computer industry's amazing achievements with hardware and software developments over the last twenty years. On one hand many computers, bought only a few years ago, are being sent to elementary schools for children to learn the ABC's of computing. On the other hand, with economic, scientific and military developments, it seems that the increase of intricacy and the size of newly arising problems have no end. We all realize then that the second way, to design good algorithms, will definitely compensate for the hardware limitations in the case of complicated problems. It is the collective and parallel computation property of artificial neural net works that has activated the enthusiasm of researchers in the field of computer science and applied mathematics. It is hard to say that artificial neural networks are solvers of the above-mentioned dilemma, but at least they throw some new light on the difficulties we face. We not only anticipate that there will be neural computers with intelligence but we also believe that the research results of artificial neural networks might lead to new algorithms on von Neumann's computers.

Artificial Neural Nets And Genetic Algorithms

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Author : Rudolf F. Albrecht
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Artificial Neural Nets And Genetic Algorithms written by Rudolf F. Albrecht 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 2012-12-06 with Computers categories.

Artificial neural networks and genetic algorithms both are areas of research which have their origins in mathematical models constructed in order to gain understanding of important natural processes. By focussing on the process models rather than the processes themselves, significant new computational techniques have evolved which have found application in a large number of diverse fields. This diversity is reflected in the topics which are the subjects of contributions to this volume. There are contributions reporting theoretical developments in the design of neural networks, and in the management of their learning. In a number of contributions, applications to speech recognition tasks, control of industrial processes as well as to credit scoring, and so on, are reflected. Regarding genetic algorithms, several methodological papers consider how genetic algorithms can be improved using an experimental approach, as well as by hybridizing with other useful techniques such as tabu search. The closely related area of classifier systems also receives a significant amount of coverage, aiming at better ways for their implementation. Further, while there are many contributions which explore ways in which genetic algorithms can be applied to real problems, nearly all involve some understanding of the context in order to apply the genetic algorithm paradigm more successfully. That this can indeed be done is evidenced by the range of applications covered in this volume.

Energy Minimization Methods In Computer Vision And Pattern Recognition

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Author : Mario Figueiredo
language : en
Publisher: Springer Science & Business Media
Release Date : 2001-08-22

Energy Minimization Methods In Computer Vision And Pattern Recognition written by Mario Figueiredo 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 2001-08-22 with Computers categories.

This book constitutes the refereed proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition, EMMCVPR 2001, held in Sophia Antipolis, France in September 2001. The 42 revised full papers presented were carefully reviewed and selected from 70 submissions. The book offers topical sections on probabilistic models and estimation; image modeling and synthesis; clustering, grouping, and segmentation; optimization and graphs; and shapes, curves, surfaces, and templates.

Complex Valued Neural Networks Utilizing High Dimensional Parameters

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Author : Nitta, Tohru
language : en
Publisher: IGI Global
Release Date : 2009-02-28

Complex Valued Neural Networks Utilizing High Dimensional Parameters written by Nitta, Tohru and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-02-28 with Computers categories.

"This book covers the current state-of-the-art theories and applications of neural networks with high-dimensional parameters"--Provided by publisher.

Encyclopedia Of Library And Information Science

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Author : Allen Kent
language : en
Publisher: CRC Press
Release Date : 1997-09-16

Encyclopedia Of Library And Information Science written by Allen Kent and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-09-16 with Language Arts & Disciplines categories.

The Biological Literature to An Uncertainty Principle for Information Seeking: A Qualitative Approach

Instrument Engineers Handbook Volume Two

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Author : Bela G. Liptak
language : en
Publisher: CRC Press
Release Date : 2018-10-08

Instrument Engineers Handbook Volume Two written by Bela G. Liptak and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-08 with Technology & Engineering categories.

The latest update to Bela Liptak's acclaimed "bible" of instrument engineering is now available. Retaining the format that made the previous editions bestsellers in their own right, the fourth edition of Process Control and Optimization continues the tradition of providing quick and easy access to highly practical information. The authors are practicing engineers, not theoretical people from academia, and their from-the-trenches advice has been repeatedly tested in real-life applications. Expanded coverage includes descriptions of overseas manufacturer's products and concepts, model-based optimization in control theory, new major inventions and innovations in control valves, and a full chapter devoted to safety. With more than 2000 graphs, figures, and tables, this all-inclusive encyclopedic volume replaces an entire library with one authoritative reference. The fourth edition brings the content of the previous editions completely up to date, incorporates the developments of the last decade, and broadens the horizons of the work from an American to a global perspective. Béla G. Lipták speaks on Post-Oil Energy Technology on the AT&T Tech Channel.

Dynamics And Control Of Chemical Reactors Distillation Columns And Batch Processes Dycord 92

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Author : J.G. Balchen
language : en
Publisher: Elsevier
Release Date : 2014-05-23

Dynamics And Control Of Chemical Reactors Distillation Columns And Batch Processes Dycord 92 written by J.G. Balchen and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.

In addition to the three main themes: chemical reactors, distillation columns, and batch processes this volume also addresses some of the new trends in dynamics and control methodology such as model based predictive control, new methods for identification of dynamic models, nonlinear control theory and the application of neural networks to identification and control. Provides a useful reference source of the major advances in the field.

Intelligent Engineering Systems Through Artificial Neural Networks

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Author : Cihan H. Dagli
language : en
Publisher:
Release Date : 1993

Intelligent Engineering Systems Through Artificial Neural Networks written by Cihan H. Dagli and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993 with Neural networks (Computer science) categories.

Advanced Control Of Chemical Processes Adchem 91

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Author : K. Najim
language : en
Publisher: Elsevier
Release Date : 2014-05-23

Advanced Control Of Chemical Processes Adchem 91 written by K. Najim and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-23 with Technology & Engineering categories.

This volume contains 40 papers which describe the recent developments in advanced control of chemical processes and related industries. The topics of adaptive control, model-based control and neural networks are covered by 3 survey papers. New adaptive, statistical, model-based control and artificial intelligence techniques and their applications are detailed in several papers. The problem of implementation of control algorithms on a digital computer is also considered.