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backpropagation
An error correction technique used in neural networks
A phenomenon in which the action potential of a neuron creates a voltage spike both at the end of the axon, as normally, and also back through to the dendrites from which much of the original input current originated
A multilayer feedforward neural net architecture which uses the supervised mode of learning This is the most widely used type of neural net
A neural network training algorithm for feedforward networks where the errors at the output layer are propagated back to the layer before in learning If the previous layer is not the input layer, then the errors at this hidden layer are propagated back to the layer before
A name given to the process by which the Perceptron neural network is "trained" to produce good responses to a set of input patterns In light of this, the Perceptron network is sometimes called a "back-prop" network
The most popular form of neural network Backpropagation networks are feed-forward multilayer networks that use a supervised training algorithm (backward propagation of errors) to adjust the connection weights
refers to: learning algorithm A learning algorithm used by neural nets with supervised learning Special form of the delta learning rule see also: forwardpropagation