Learning factors:

The factors that improve the convergence of EBPTA are called as learning factors

The factors are as follows:

1. Initial weights
2. Steepness of activation function
3. Learing constant
4. Momentum
5. Network architecture

6. Necessary number of hidden neurons

    

1. Initial weights:

• The weights of the network to be trained are typically initialized …