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Artificial Intelligence in Logic Design

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Cover of 'Artificial Intelligence in Logic Design'

Table of Contents

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    Book Overview
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    Chapter 1 Editorial — Artificial Intelligence in Logic Design
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    Chapter 2 Multiple-Valued Logic and Artificial Intelligence Fundamentals of Fuzzy Control Revisited
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    Chapter 3 Evolutionary Synthesis of Arithmetic Circuit Structures
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    Chapter 4 Bi-Decomposition of Function Sets in Multiple-Valued Logic for Circuit Design and Data Mining
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    Chapter 5 Advanced AI Search Techniques in Modern Digital Circuit Synthesis
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    Chapter 6 Exploiting Functional Properties of Boolean Functions for Optimal Multi-Level Design by Bi-Decomposition
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    Chapter 7 Evolutionary Approach to Quantum and Reversible Circuits Synthesis
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    Chapter 8 Conquering Uncertainty in Multiple-Valued Logic Design
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    Chapter 9 Evolutionary Synthesis of Logic Circuits Using Information Theory
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    Chapter 10 Three-Dimensional Feedforward Neural Networks and Their Realization by Nano-Devices
Attention for Chapter 7: Evolutionary Approach to Quantum and Reversible Circuits Synthesis
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Chapter title
Evolutionary Approach to Quantum and Reversible Circuits Synthesis
Chapter number 7
Book title
Artificial Intelligence in Logic Design
Published by
Springer, Dordrecht, January 2004
DOI 10.1007/978-1-4020-2075-9_7
Book ISBNs
978-9-04-816583-4, 978-1-4020-2075-9
Authors

Martin Lukac, Marek Perkowski, Hilton Goi, Mikhail Pivtoraiko, Chung Hyo Yu, Kyusik Chung, Hyunkoo Jee, Byung-Guk Kim, Yong-Duk Kim, Lukac, Martin, Perkowski, Marek, Goi, Hilton, Pivtoraiko, Mikhail, Yu, Chung Hyo, Chung, Kyusik, Jee, Hyunkoo, Kim, Byung-Guk, Kim, Yong-Duk

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