Probabilistic neural network: Difference between revisions

Revision as of 15:46, 25 May 2012

Revision as of 17:00, 30 May 2012

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A '''Probabilisticprobabilistic Neuralneural Networknetwork (PNN)''' is a [[Feedforwardfeedforward neural network]] , which was derived from [[Bayesian network]]<ref>http://herselfsai.com/2007/03/probabilistic-neural-networks.html</ref> and a statistical algorithm called [[Kernel Fisher discriminant analysis]].<ref>http://www.psi.toronto.edu/~vincent/research/presentations/PNN.pdf</ref> 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

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* Probabilistic Neural Network-Based sensor configuration management in a wireless AD-HOC network.<ref>http://www.ll.mit.edu/asap/asap_04/DAY2/27_PA_STEVENS.PDF</ref>

* Probabilistic Neural Network in character recognizing.

--inoshi 09:20, 22 March 2012 (UTC)

== References ==

{{Reflist}}

[[Category:Neural networks]]