381 39 641KB
English Pages 414 Year 1991
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Freeman and Skapura provide a practical introduction to artificial neural systems (ANS). The authors survey the most com
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Convolutional neural networks (CNNs), a type of deep neural network that has become dominant in a variety of computer vi
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It is an open question as to what is the best way to extract symbolic rules from trained neural networks in domains invo
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"With respect to the ever-increasing developments in artificial intelligence and artificial neural network applicat
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The book begins with an introduction of blind equalization theory and its application in neural networks, then discusses
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Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms integrates neural networks, fuzzy systems, and evolution
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Artificial neural networks can mimic the biological information-processing mechanism in - a very limited sense. Fuzzy lo
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