Question

Q5.
How can Artificial Neural Networks improve decision making. Give examples?​

Answer 1

Answer:

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 .

Answer 2

Answer:

Answer:

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Explanation:

the structure of anns is commonly known as a multilayered perceptron a network of many neuron has its own weighted inputs, transfer function and one output once the ann is trained and tested with the right weight dicided, it can be given to predict the output.

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