Comparison of Back Propagation Neural Network and Genetic Algorithm Neural Network for Stream Flow Prediction

Table 1

Parameter range of NN architecture.

Parameter	Range
	Minimum	Maximum	Optimum; (from trial and error)
Number of hidden neurons	2.0	25.00	10.00
Learning rate at hidden layer	0.1	0.99	00.500
Learning rate at output layer	0.1	0.99	00.550
Momentum rate	0.1	0.99	00.445
Hidden layer activation constant	1.0	10.00	05.500
Output layer activation constant	1.0	10.00	05.500
Bias	0.000001	0.00001	0.000085