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- Q7246859 subject Q17093910.
- Q7246859 abstract "A probabilistic neural network (PNN) is a feedforward neural network, which was derived from the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis. 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↑ ↑ ↑".
- Q7246859 wikiPageExternalLink edit?usp=sharing.
- Q7246859 wikiPageWikiLink Q1588488.
- Q7246859 wikiPageWikiLink Q17093910.
- Q7246859 wikiPageWikiLink Q1916617.
- Q7246859 wikiPageWikiLink Q2991667.
- Q7246859 wikiPageWikiLink Q5441227.
- Q7246859 wikiPageWikiLink Q6394184.
- Q7246859 wikiPageWikiLink Q812540.
- Q7246859 comment "A probabilistic neural network (PNN) is a feedforward neural network, which was derived from the Bayesian network and a statistical algorithm called Kernel Fisher discriminant analysis. 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↑ ↑ ↑".
- Q7246859 label "Probabilistic neural network".