Advanced Methods in Neural Computing
Following up where Neural Computing: Theory and Practice left off, this guide explains diverse high-performance paradigms for artificial neural networks (ANNs) that function effectively in real-world situations. The tutorial approach, use of standardized notation, undergraduate-level mathematics, and extensive examples explain methods for solving practical neural network engineering problems in a clear and comprehensible manner. Emphasis is given to paradigms that perform well rather than those of academic interest. Explanations of the paradigms are program-oriented and are written in algorithmic form. Self-contained chapters cover field theory methods, including Nestor's restricted coulomb energy system; probabilistic neural networks, which can increase training speed by orders of magnitude; genetic algorithms that mimic biological evolution; sparse distributed memory, a powerful associative memory paradigm, which is compatible with VLSI implementation; fuzzy logic methods that are finding widespread application in control systems; neural engineering, including a set of techniques for designing, training, and applying artificial neural systems to real-world problems; and additional chapters cover basis function methods, chaos, and automatic control. Most of the paradigms presented have been used by the author in actual applications. Paradigms that are still in the research stage, but offer great potential, are also discussed. Advanced Methods in Neural Computing meets the reference needs of electronics engineers, control systems engineers, programmers, and others in scientific disciplines.
3 pages matching construction in this book
Results 1-3 of 3
What people are saying - Write a review
Field Theory Methods
Probabilistic Neural Networks
9 other sections not shown
Advanced Methods in Neural Computing, 1st edition
Advanced Methods in Neural Computing meets the reference needs of electronics engineers, control systems engineers, programmers, and others in scientific ...
Phys. Rev. Lett. 75, 3594 (1995): van Milligen et al. - Neural ...
pt Wasserman, Advanced Methods in Neural Computing (Van Nostrand Reinhold, New York, 1993). K. Hornick, M. Stinchombe, and H. White, Neural Networks 2, ...
link.aps.org/ doi/ 10.1103/ PhysRevLett.75.3594
ACCU - Reviews in C Vu 7-2 (Jan 1995)
See our list of Recommended books at the end of this list. Advanced Methods in Neural Computing by P Wasserman [Recommended] ...
www.accu.informika.ru/ bookreviews/ public/ reviews/ 0cv/ 7-2.htm
Non-linear color corrector having a neural network and using fuzzy ...
Advanced Methods in Neural Computing by Wasserman, Philip D., published by New York Van Nostrand Reinhold, discusses the feed-forward neural network and is ...
www.patentstorm.us/ patents/ 5548697-description.html
Computer system and process for training of analytical models ...
Clustering is described, for example, in Advanced Methods in Neural Computing by Philip Wasserman, Van Nostrand Reinhold, 1993, which is hereby incorporated ...
HANDWRITTEN BANK CHECK RECOGNITION OF COURTESY AMOUNTS 1. Introduction
Wasserman, pd, “Advanced methods in neural computing,” Van Nostrand Rein-. hold, New York (1993). 32. M. Prundaru and I. Prundaru, “Syntactic handwritten ...
www.ccs.neu.edu/ home/ pwang/ paper/ WSP_IJIG04_FinalPaper.pdf
Great deals on computer books: Bargain hunting on over 80.000 computer books - price reductions shown in real-time! ...
Akademika - alt av fagbøker
Advanced Methods in Neural Computing av Wasserman, Philip Pris: Ikke tilgjengelig. Forlag: Van Nost.Reinhold Utgitt: 1993-07 Språk: English ...
Cursos em Inteligência Computacional
[Philip D. Wasserman, Advanced Methods in Neural Computing, Van Nostrand Reinhold - NY, 1993. 7. Philip Wasserman, Neural Computing - Theory and Practice, ...
www.ica.ele.puc-rio.br/ cursos/ download/ icabook.pdf