Neural Networks. Vol. 3. 1990
| Author | : International Neural Network Society |
| Publisher | : |
| Total Pages | : 974 |
| Release | : 1990 |
| Genre | : |
| ISBN | : |
Neural Networks Vol 3 1990
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Algorithms and Architectures for Real-Time Control 1991
| Author | : P.J. Fleming |
| Publisher | : Elsevier |
| Total Pages | : 279 |
| Release | : 2014-07-22 |
| Genre | : Technology & Engineering |
| ISBN | : 1483298256 |
Computer scientists have long appreciated that the relationship between algorithms and architecture is crucial. Broadly speaking the more specialized the architecture is to a particular algorithm then the more efficient will be the computation. The penalty is that the architecture will become useless for computing anything other than that algorithm. This message holds for the algorithms used in real-time automatic control as much as any other field. These Proceedings will provide researchers in this field with a useful up-to-date reference source of recent developments.
Mathematical Approaches to Neural Networks
| Author | : J.G. Taylor |
| Publisher | : Elsevier |
| Total Pages | : 391 |
| Release | : 1993-10-27 |
| Genre | : Computers |
| ISBN | : 0080887392 |
The subject of Neural Networks is being seen to be coming of age, after its initial inception 50 years ago in the seminal work of McCulloch and Pitts. It is proving to be valuable in a wide range of academic disciplines and in important applications in industrial and business tasks. The progress being made in each approach is considerable. Nevertheless, both stand in need of a theoretical framework of explanation to underpin their usage and to allow the progress being made to be put on a firmer footing.This book aims to strengthen the foundations in its presentation of mathematical approaches to neural networks. It is through these that a suitable explanatory framework is expected to be found. The approaches span a broad range, from single neuron details to numerical analysis, functional analysis and dynamical systems theory. Each of these avenues provides its own insights into the way neural networks can be understood, both for artificial ones and simplified simulations. As a whole, the publication underlines the importance of the ever-deepening mathematical understanding of neural networks.
Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005
| Author | : Wlodzislaw Duch |
| Publisher | : Springer |
| Total Pages | : 1051 |
| Release | : 2005-08-25 |
| Genre | : Computers |
| ISBN | : 3540287566 |
This volume is the first part of the two-volume proceedings of the International C- ference on Artificial Neural Networks (ICANN 2005), held on September 11–15, 2005 in Warsaw, Poland, with several accompanying workshops held on September 15, 2005 at the Nicolaus Copernicus University, Toru , Poland. The ICANN conference is an annual meeting organized by the European Neural Network Society in cooperation with the International Neural Network Society, the Japanese Neural Network Society, and the IEEE Computational Intelligence Society. It is the premier European event covering all topics concerned with neural networks and related areas. The ICANN series of conferences was initiated in 1991 and soon became the major European gathering for experts in those fields. In 2005 the ICANN conference was organized by the Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland, and the Nicolaus Copernicus Univ- sity, Toru , Poland. From over 600 papers submitted to the regular sessions and some 10 special c- ference sessions, the International Program Committee selected – after a thorough peer-review process – about 270 papers for publication. The large number of papers accepted is certainly a proof of the vitality and attractiveness of the field of artificial neural networks, but it also shows a strong interest in the ICANN conferences.
From Statistics to Neural Networks
| Author | : Vladimir Cherkassky |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 414 |
| Release | : 2012-12-06 |
| Genre | : Computers |
| ISBN | : 3642791190 |
The NATO Advanced Study Institute From Statistics to Neural Networks, Theory and Pattern Recognition Applications took place in Les Arcs, Bourg Saint Maurice, France, from June 21 through July 2, 1993. The meeting brought to gether over 100 participants (including 19 invited lecturers) from 20 countries. The invited lecturers whose contributions appear in this volume are: L. Almeida (INESC, Portugal), G. Carpenter (Boston, USA), V. Cherkassky (Minnesota, USA), F. Fogelman Soulie (LRI, France), W. Freeman (Berkeley, USA), J. Friedman (Stanford, USA), F. Girosi (MIT, USA and IRST, Italy), S. Grossberg (Boston, USA), T. Hastie (AT&T, USA), J. Kittler (Surrey, UK), R. Lippmann (MIT Lincoln Lab, USA), J. Moody (OGI, USA), G. Palm (U1m, Germany), B. Ripley (Oxford, UK), R. Tibshirani (Toronto, Canada), H. Wechsler (GMU, USA), C. Wellekens (Eurecom, France) and H. White (San Diego, USA). The ASI consisted of lectures overviewing major aspects of statistical and neural network learning, their links to biological learning and non-linear dynamics (chaos), and real-life examples of pattern recognition applications. As a result of lively interactions between the participants, the following topics emerged as major themes of the meeting: (1) Unified framework for the study of Predictive Learning in Statistics and Artificial Neural Networks (ANNs); (2) Differences and similarities between statistical and ANN methods for non parametric estimation from examples (learning); (3) Fundamental connections between artificial learning systems and biological learning systems.
Handbook of Bioinspired Algorithms and Applications
| Author | : Stephan Olariu |
| Publisher | : CRC Press |
| Total Pages | : 684 |
| Release | : 2005-09-29 |
| Genre | : Computers |
| ISBN | : 1420035061 |
The mystique of biologically inspired (or bioinspired) paradigms is their ability to describe and solve complex relationships from intrinsically very simple initial conditions and with little or no knowledge of the search space. Edited by two prominent, well-respected researchers, the Handbook of Bioinspired Algorithms and Applications reveals the
Neural Networks and Pattern Recognition
| Author | : Omid Omidvar |
| Publisher | : Academic Press |
| Total Pages | : 380 |
| Release | : 1998 |
| Genre | : Business & Economics |
| ISBN | : 9780125264204 |
Pulse-coupled neural networks; A neural network model for optical flow computation; Temporal pattern matching using an artificial neural network; Patterns of dynamic activity and timing in neural network processing; A macroscopic model of oscillation in ensembles of inhibitory and excitatory neurons; Finite state machines and recurrent neural networks: automata and dynamical systems approaches; biased random-waldk learning; a neurobiological correlate to trial-and-error; Using SONNET 1 to segment continuous sequences of items; On the use of high-level petri nets in the modeling of biological neural networks; Locally recurrent networks: the gmma operator, properties, and extensions.
Neural Network Applications in Control
| Author | : George William Irwin |
| Publisher | : IET |
| Total Pages | : 320 |
| Release | : 1995 |
| Genre | : Computers |
| ISBN | : 9780852968529 |
The aim is to present an introduction to, and an overview of, the present state of neural network research and development, with an emphasis on control systems application studies. The book is useful to a range of levels of reader. The earlier chapters introduce the more popular networks and the fundamental control principles, these are followed by a series of application studies, most of which are industrially based, and the book concludes with a consideration of some recent research.
Fuzzy Systems
| Author | : Hung T. Nguyen |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 532 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461555051 |
The analysis and control of complex systems have been the main motivation for the emergence of fuzzy set theory since its inception. It is also a major research field where many applications, especially industrial ones, have made fuzzy logic famous. This unique handbook is devoted to an extensive, organized, and up-to-date presentation of fuzzy systems engineering methods. The book includes detailed material and extensive bibliographies, written by leading experts in the field, on topics such as: Use of fuzzy logic in various control systems. Fuzzy rule-based modeling and its universal approximation properties. Learning and tuning techniques for fuzzy models, using neural networks and genetic algorithms. Fuzzy control methods, including issues such as stability analysis and design techniques, as well as the relationship with traditional linear control. Fuzzy sets relation to the study of chaotic systems, and the fuzzy extension of set-valued approaches to systems modeling through the use of differential inclusions. Fuzzy Systems: Modeling and Control is part of The Handbooks of Fuzzy Sets Series. The series provides a complete picture of contemporary fuzzy set theory and its applications. This volume is a key reference for systems engineers and scientists seeking a guide to the vast amount of literature in fuzzy logic modeling and control.
Advanced Dynamic-system Simulation
| Author | : Granino A. Korn |
| Publisher | : John Wiley & Sons |
| Total Pages | : 239 |
| Release | : 2007-03-07 |
| Genre | : Computers |
| ISBN | : 0470085150 |
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.
