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The structure of ANNs is commonly known as a multilayered perceptron, ie, a network of many neurons. In each layer, every artificial neuron has its own weighted inputs, transfer function, and one output. Once the ANN is trained and tested with the right weights decided, it can be given to predict the output.
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