Titlebook: Neural Networks; An Introduction Berndt Müller,Joachim Reinhardt,Michael T. Strickl Book 1995Latest edition Springer-Verlag Berlin Heidelbe

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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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More Applications of Neural Networkssucceed given a specific task. In particular, this is true when no formal solution of the problem is known and the network is expected to discover the solution completely on its own. After all, neural networks of the low degree of complexity discussed here are surely . more intelligent than human beings.

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Combinatorial Optimizationtion problems. Here a . has to be minimized, which depends on the order of a finite number of objects. The number of arrangements of . objects, and therefore the effort to find the minimum of ., grows exponentially with ..

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Unsupervised Learningrespect: that complete knowledge of the deviation of the output from the desired reaction is required to determine the adjustment even of neurons in hidden layers far separated from the output layer. It is hard to believe that such extended back-coupling mechanisms can operate in complex biological neural networks.

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