Hardware implementation of intelligent systems
Author(s)
Bibliographic Information
Hardware implementation of intelligent systems
（Studies in fuzziness and soft computing, v. 74）
Physica-Verlag, c2001
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Includes references and index
Description and Table of Contents
Description
Intelligent systems are now being used more commonly than in the past. These involve cognitive, evolving and artificial-life, robotic, and decision making systems, to name a few. Due to the tremendous speed of development, on both fundamental and technological levels, it is virtually impossible to offer an up-to-date, yet comprehensive overview of this field. Nevertheless, the need for a volume presenting recent developments and trends in this domain is huge, and the demand for such a volume is continually increasing in industrial and academic engineering 1 communities. Although there are a few volumes devoted to similar issues , none offer a comprehensive coverage of the field; moreover they risk rapidly becoming obsolete. The editors of this volume cannot pretend to fill such a large gap. However, it is the editors' intention to fill a significant part of this gap. A comprehensive coverage of the field should include topics such as neural networks, fuzzy systems, neuro-fuzzy systems, genetic algorithms, evolvable hardware, cellular automata-based systems, and various types of artificial life-system implementations, including autonomous robots. In this volume, we have focused on the first five topics listed above. The volume is composed of four parts, each part being divided into chapters, with the exception of part 4. In Part 1, the topics of "Evolvable Hardware and GAs" are addressed. In Chapter 1, "Automated Design Synthesis and Partitioning for Adaptive Reconfigurable Hardware", Ranga Vemuri and co-authors present state-of-the-art adaptive architectures, their classification, and their applications.
Table of Contents
1: Evolvable Hardware and GA.- 1. Automated design synthesis and partitioning for adaptive reconfigurable hardware.- 2. High-performance hardware design and implementation of genetic algorithms.- 2: Fuzzy Logic Hardware Implementations.- 3. Hardware implementation of intelligent systems.- 4. High performance fuzzy processors.- 5. A digital fuzzy processor for fuzzy-rule-based systems.- 3: Neural Networks Hardware Implementations.- 6. Optimum multiuser detection for CDMA systems using the mean field annealing neural network.- 7. Analog VLSI hardware implementation of a supervised learning algorithm.- 8. pRAM: the probabilistic RAM neural processor.- 4: Algorithms for Parallel Machines.- 9. Parallel subgraph matching on a hierarchical interconnection network.- About the editors.- Index of terms.
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