Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory

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9780471219484: Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory
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Provides comprehensive treatment of the theory of both static anddynamic neural networks.
* Theoretical concepts are illustrated by reference to practicalexamples Includes end-of-chapter exercises and end-of-chapterexercises.
*An Instructor Support FTP site is available from the Wileyeditorial department.

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A solid introduction to the concepts and advanced applications ofneural networks

Since the 1980s, the field of neural networks has undergoneexponential growth. Robots in manufacturing, mining, agriculture,space and ocean exploration, and health sciences are just a fewexamples of the challenging applications where human-likeattributes such as cognition and intelligence are playing animportant role. Neural networks and related areas such as fuzzylogic and soft-computing in general are also contributing tocomplex decision-making in such fields as health sciences,management, economics, politics, law, and administration. In thefuture, robots could evolve into electro-mechanical systems withcognitive skills approaching human intelligence.

With a fascinating blend of heuristic concepts and mathematicalrigor, Static and Dynamic Neural Networks: From Fundamentals toAdvanced Theory outlines the basic concepts behind neural networksand leads the reader onward to more advanced theory andapplications. Pedagogically sound and clearly written, this textdiscusses:

  • Neuronal morphology and neuro-computational systems
  • Threshold logic, adaptation, and learning
  • Static neural networks–MFNNs, XOR Neural Networks, andBackpropagation Algorithms
  • Dynamic neural networks–both continuous-time anddiscrete-time
  • Binary neural networks, feedback binary associative memories,fuzzy sets, and other advanced topics

Thoroughly surveying the many-faceted and increasinglyinfluential field of neural networks, this is a valuable referencefor both practitioner and student.

About the Author:

MADAN M. GUPTA is a professor in the Intelligent Systems ResearchLaboratory at the University of Saskatchewan, Canada. He received aBE from the Birla Institute of Technology and Science, Pilani,India, and a PhD from the University of Warwick, Canada. A Fellowof the IEEE and the SPIE, Professor Gupta has been awarded theKaufmann Prize Gold Medal for Research in the field of fuzzy logic.
LIANG JIN received a BS and MSc in electrical engineering from theChangsha Institute of Technology, China, and a PhD in electricalengineering from the Chinese Academy of Space Technology. He is asenior member of the technical staff at Agere Systems in Allentown,Pennsylvania.
NORIYASU HOMMA earned a BA, MA, and PhD in electrical andcommunication engineering from Tohoku University, Japan, where heis an associate professor. He is currently a visiting professor atthe Intelligent Systems Research Laboratory, College ofEngineering, University of Saskatchewan, Canada.

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