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What are the learning factors of back propagation algorithm.
written 4.5 years ago by gravatar for teamques10 teamques10 ★ 70k modified 4.0 years ago by gravatar for binitamayekar binitamayekar ★ 6.7k
machine learning
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written 4.5 years ago by gravatar for teamques10 teamques10 ★ 70k

The factors that improve the convergence of Error Back Propotion Algorithm(EBPA) are called as learning factors they are as follows:

  1. Initial weights
  2. Steepness of activation function
  3. Learning 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 at …

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