This chapter is an initial point of the book. A brief historical observation of neural networks, their basic architectures, types of neurons, learning algorithms will be given in Section 1.1. We motivate the approach taken in this book in Section 1.2 by considering neurons with complex-valued weights, and especially multi-valued and universal binary neurons. A Chapter by Chapter overview of the book is given in Section 1.3. Own contributions are listed in Section 1.4.
KeywordsActivation Function Boolean Function Associative Memory Threshold Function Cellular Neural Network
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