Titlebook: Neural Networks; An Introduction Berndt Müller,Joachim Reinhardt Textbook 19901st edition Springer-Verlag Berlin Heidelberg 1990 Konnektion

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書目名稱Neural Networks影響因子(影響力)




書目名稱Neural Networks影響因子(影響力)學(xué)科排名




書目名稱Neural Networks網(wǎng)絡(luò)公開度




書目名稱Neural Networks網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Networks被引頻次




書目名稱Neural Networks被引頻次學(xué)科排名




書目名稱Neural Networks年度引用




書目名稱Neural Networks年度引用學(xué)科排名




書目名稱Neural Networks讀者反饋




書目名稱Neural Networks讀者反饋學(xué)科排名

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https://doi.org/10.1007/978-3-642-97239-3Konnektionismus (Kybern; ); Künstliche Intelligenz; Pa; artificial intelligence; associative memory; brain

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Associative Memoryutation on a neural network. An information storage device is called an ., if it permits the recall of information on the basis of a partial knowledge of its content, but without knowing its storage location. One also speaks of . memory.

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VLSI and Neural Networksit it for practical and perhaps beneficial purposes, one must face the challenge of performing real-life neural computations. Several courses can be followed to achieve this purpose. We enumerate the most important alternatives:

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Neural Networks IntroducedNeural-network models are algorithms for cognitive tasks, such as learning and optimization, which are in a loose sense based on concepts derived from research into the nature of the brain. In mathematical terms .:

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ApplicationsIn the past few years, layered feed-forward neural networks learning by error back-propagation have been applied to a number of problems. We cannot discuss all of these sometimes quite impressive applications here in detail, but we shall discuss a few selected examples in the following, leaving others to further study by the interested reader.

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Springer-Verlag Berlin Heidelberg 1990

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