Definition of ANN

Category
Other
Output Type
Information/Fact
TAG
ANN
Type of Message *
Message
Cover Feature
ANN or Artificial Neural Network can be defined as the parallel processing units which can mimic the nervous signal of the human being for processing of information signals.

It use the weights of the input processing units to create a weighted average of all the inputs.Then applies an activation function after the signal has passed through a Threshold function.

Entire procedure is repeated when there is multiple layers within the input and output.Every time the signal creates an output it is compared with the observed one to differentiate between the two(error). Once the error is identified the weights are changed and again the same process is repeated(training).

When the difference between the predicted and actual/available output is within the desired limit or number of training iteration has equaled the allowable number of iterations the training is stopped and prediction is made from the model if accuracy is satisfactory.
Summary
Weight change in input connections and weighted average of the same after application of the activation function predicts the output in ANN

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