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ISBN-13: 9780120121243

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Each new technology gives birth to a new class of architectures of computing facilities. This was the case with SIMD architecture at the end of the 1970s and at the beginning of the 1980s. The same situation was with MIMD architecture at the beginning and at the end of the 1980s. Nowadays it occurs with neurocomputers. The performance of investigations of real neural network structures aimed at the development of neurocomputers and molecular computers will result in the appearance of original architecture prototypes, because the technological principles of realizing and evolution of biological and molecular neural networks greatly differ from those used at present when realizing VLSI and optical neural networks.

Small-processor computers; Multi-processor computers (computers with massive parallelization, transputer computers, psuedo-transputer computers, computers with transputer kernel and peripheral processors of i860-, Alpha-, Power PC-, etc. types); Neural computers. The priority of Russian computer science belongs to the development of neural computers. On the modern stage of the development of microelectronic technology and adjoining technologies, neural network technology became adequate not only for the different types of microelectronic and semiconductor technologies but also for optical, optoelectronic, molecular, quantum and other technologies.

8 Informative Feature Selection in Multilayer Neural Networks An attempt to analyze from one viewpoint very different and rather numerous works dedicated to the informative feature selection was done in [I-6]. It was an attempt to develop so-called structural methods related to the methods of multilayer neural network synthesis. The author considers that the widely spread viewpoint about a possibility of a socalled preliminary feature selection is not valid. The reason is that in the case of any selection features procedure, either directly or indirectly, one must use some concrete neural network.

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Advances in Computers, Vol. 24


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