极大 发表于 2025-3-21 18:15:50

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adhesive 发表于 2025-3-21 22:08:28

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groggy 发表于 2025-3-22 02:00:43

https://doi.org/10.1007/978-3-642-39363-1ties to the present ones that make possible to think in applying automatic process to tasks that formerly had been reserved to the human intelligence. After the historical review, Neural Networks are dealt from a computational point of view. This perspective helps to compare Neural Systems with clas

HOWL 发表于 2025-3-22 07:13:38

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Lethargic 发表于 2025-3-22 12:40:00

Stochastic Modelling and Applied Probabilityadvantages with respect to the best old methods: generalization capacity, ease of use, solution uniqueness. It has also shown some disadvantages: maximum data handling and speed in the training phase. However, these disadvantages will be overcome in the near future, as computer power increases, leav

被告 发表于 2025-3-22 16:03:45

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被告 发表于 2025-3-22 21:01:16

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expunge 发表于 2025-3-23 01:03:09

Application of Neural Networks,This chapter is dedicated to the scope of which facts should be considered when deciding whether a Neural Network (NN) solution is suitable to solve a given problem. This is followed by a detailed example of a successful and useful application: a Neural Binary Detector

啜泣 发表于 2025-3-23 02:28:59

https://doi.org/10.1007/0-387-37452-3Soft Computing; Support Vector Machine; artificial intelligence; artificial neural network; communicatio

加剧 发表于 2025-3-23 06:00:27

978-1-4419-4247-0Springer-Verlag US 2007
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查看完整版本: Titlebook: Computational Intelligence; for Engineering and Diego Andina,Duc Truong Pham Book 2007 Springer-Verlag US 2007 Soft Computing.Support Vect