A Bayesian Confidence Neural Network (BCPNN) is an artificial neural network inspired by Bayes` theorem: node activations represent probability (`confidence`) in the presence of input features or categories, synaptic weights are based on estimated correlations and the spread of activation corresponds to calculating posteriori probabilities. It ......
Found on http://en.wikipedia.org/wiki/Bcpnn
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