Research Article
Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines
Table 2
Back propagation neural network specifications.
| No. of inputs | 4 | No. of neurons in hidden layer | 11 | No. of neurons in output layer | 1 | Learning rate (η) | 0.01 | No. of iterations | 2500 | No. of training sets | 180 | No. of test input sets | 70 | Convergence criteria | 0.001 |
|
|