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・ Probabilistic automaton
・ Probabilistic bisimulation
・ Probabilistic causation
・ Probabilistic classification
・ Probabilistic CTL
・ Probabilistic data association filter
・ Probabilistic database
・ Probabilistic design
・ Probabilistic encryption
・ Probabilistic forecasting
・ Probabilistic latent semantic analysis
・ Probabilistic logic
・ Probabilistic logic network
・ Probabilistic method
・ Probabilistic metric space
Probabilistic neural network
・ Probabilistic number theory
・ Probabilistic prognosis
・ Probabilistic programming language
・ Probabilistic proposition
・ Probabilistic relevance model
・ Probabilistic risk assessment
・ Probabilistic roadmap
・ Probabilistic soft logic
・ Probabilistic Turing machine
・ Probabilistic voting model
・ Probabilistic-based design optimization
・ Probabilistically checkable proof
・ Probability
・ Probability amplitude


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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)
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