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This volume is the first diverse and comprehensive treatment of algorithms and architectures for the realization of neural network systems. It presents techniques and diverse methods in numerous areas of this broad subject. The book covers major neural network systems structures for achieving effective systems, and illustrates them with examples.
This volume includes Radial Basis Function networks, the Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks, weight initialization, fast and efficient variants of Hamming and Hopfield neural networks, discrete time synchronous multilevel neural systems with reduced VLSI demands, probabilistic design techniques, time-based techniques, techniques for reducing physical realization requirements, and applications to finite constraint problems.
A unique and comprehensive reference for a broad array of algorithms and architectures, this book will be of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.
Radial Basis Function networks The Expand-and-Truncate Learning algorithm for the synthesis of Three-Layer Threshold Networks Weight initialization Fast and efficient variants of Hamming and Hopfield neural networks Discrete time synchronous multilevel neural systems with reduced VLSI demands Probabilistic design techniques Time-based techniques Techniques for reducing physical realization requirements Applications to finite constraint problems Practical realization methods for Hebbian type associative memory systems Parallel self-organizing hierarchical neural network systems Dynamics of networks of biological neurons for utilization in computational neuroscience970 kr
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The cross-disciplinary pursuits between modern technology, their computations and applications to the human body have exploded because of rapid developments in computer technology and mathematical computational techniques.
This four-volume set, Computational Methods in Biophysics, Biomaterials, Biotechnology and Medical Systems, represents the first multi-volume treatment of this significant subject on the international scene. The work is an indispensable reference source by leading researchers, and is essential reference work for academics, practitioners, students and researchers working with: *Computers in Medicine, *Science and Mathematics in Biomaterials, Biomechanics and Bioengineering, *Computational Biophysics.
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As miniaturization, batch fabrication, and integrated electronics rapidly enable the development of a broad range of smart products, MEMs, MOEMS, and NEMS are creating enormous opportunities for commerce and functionality. This significant and uniquely comprehensive five-volume reference is a valuable source for research workers, practitioners, computer scientists, students, and technologists. The MEMS/NEMS HANDBOOK (Microelectromechanical Systems/Nanoelectromechanical Systems) covers all of the major topics within the subject including design methods, fabrication techniques, manufacturing methods, sensors and actuators, and Micro Optical Electro Mechanical Systems. The many applications of MEMS technology include computer devices, electronics, instrumentation, industrial process control, biotechnology, medicine, chemical systems, office equipment, and communications. More than 100 coauthors from nearly 20 countries present clearly written, self-contained, accessible and comprehensive contributions with helpful standard features including an introduction, summary, extensive figures and design examples with comprehensive reference lists. The remarkable breadth and depth of the topics spanning this diverse field require the 5-volume extent of this notable reference resource that is based on the work of an internationally recognized board of coauthors.
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