Overview
- Editors:
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Horia-Nicolai Teodorescu
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Romanian Academy, Bucharest, Romania
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Lakhmi C. Jain
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Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, Australia
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Abraham Kandel
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Computer Science and Engineering, University of South Florida, Tampa, USA
- 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
- Includes supplementary material: sn.pub/extras
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Table of contents (9 chapters)
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Front Matter
Pages i-xiii
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Evolvable Hardware and GA
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- Ranga Vemuri, Sriram Govindarajan, Iyad Ouaiss, Meenakshi Kaul, Vinoo Srinivasan, Shankar Radhakrishnan et al.
Pages 3-52
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- Barry Shackleford, Etsuko Okushi, Mitsuhiro Yasuda, Hisao Koizumi, Katsuhiko Seo, Takahashi Iwamoto et al.
Pages 53-87
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Fuzzy Logic Hardware Implementations
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- Marco Russo, Luigi Caponetto
Pages 91-120
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- Gian Carlo Cardarilli, Roberto Lojacono, Marco Re
Pages 121-146
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- Davide Falchieri, Alessandro Gabrielli, Enzo Gandolfi
Pages 147-164
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Neural Networks Hardware Implementations
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Front Matter
Pages 165-165
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- Po-Rong Chang, Bor-Chin Wang, Tan-Hsu Tan
Pages 167-192
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- Gian Marco Bo, Daniele Caviglia, Hussein Chiblé, Maurizio Valle
Pages 193-217
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Algorithms for Parallel Machines
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Front Matter
Pages 243-243
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- Stuart Campbell, Mohan Kumar, Horst Bunke
Pages 245-275
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Back Matter
Pages 277-282
About this book
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.
Editors and Affiliations
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Romanian Academy, Bucharest, Romania
Horia-Nicolai Teodorescu
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Knowledge-Based Intelligent, Engineering Systems Centre, University of South Australia, Adelaide, Mawson Lakes, Australia
Lakhmi C. Jain
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Computer Science and Engineering, University of South Florida, Tampa, USA
Abraham Kandel