Question

how can artificial neural network improve decision making? give example​

Answer 1

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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Answer 2

Answer:The output of all nodes, each squashed into an s-shaped space between 0 and 1, is then passed as input to the next layer in a feed forward neural network, and so on until the signal reaches the final layer of the net, where decisions are made.