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Probabilistic neural network : ウィキペディア英語版 | Probabilistic neural network A probabilistic neural network (PNN) is a feedforward neural network, which was derived from the Bayesian network〔http://herselfsai.com/2007/03/probabilistic-neural-networks.html〕 and a statistical algorithm called Kernel Fisher discriminant analysis.〔http://www.psi.toronto.edu/~vincent/research/presentations/PNN.pdf〕 It was introduced by D.F. Specht in the early 1990s. In a PNN, the operations are organized into a multilayered feedforward network with four layers: * Input layer * Hidden layer * Pattern layer/Summation layer * Output layer ==Architecture of PNN ==
(Architecture of PNN )
抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)』 ■ウィキペディアで「Probabilistic neural network」の詳細全文を読む
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