Hardware Implementation of Intelligent Systems by Horia-Nicolai Teodorescu (Engl

Publisher Description

The book offers an overview of a large spectrum of implementations for the computational intelligence based on neuro-fuzzy and artificial approaches. The clear and concise explanations help the reader to understand the hardware implementation aspects of the new computational intelligence paradigms. The book will be of great value to researchers as well as to practicing engineers and scientists. Research students will receive an in-depth tutorial on the topics covered. The seasoned researcher will appreciate the implementations and the gold mine of other possibilities for novel research topics.

Notes

First book to address the recently emerged neuro-fuzzy and artificial life techniques at the hardware implementation level
Clear and concise explanations written by leading world experts
A highly applied, yet on the leading edge volume

Back Cover

The book offers an overview of a large spectrum of implementations for the computational intelligence based on neuro-fuzzy and artificial approaches. The clear and concise explanations help the reader to understand the hardware implementation aspects of the new computational intelligence paradigms. The book will be of great value to researchers as well as to practicing engineers and scientists. Research students will receive an in-depth tutorial on the topics covered. The seasoned researcher will appreciate the implementations and the gold mine of other possibilities for novel research topics.

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.

Long Description

Intelligent systems are now being used more commonly than in the past. These involve cognitive, evolving and artificial-life, robotic, and decision

Feature

First book to address the recently emerged neuro-fuzzy and artificial life techniques at the hardware implementation level Clear and concise explanations written by leading world experts A highly applied, yet on the leading edge volume

Details