Dependent-Chance Goal Programming for Water Resources Management under Uncertainty

Table 1

Value of each parameter.

Number of loops		6000
Input-output data		3000
Number of input neurons		6
Number of hidden neurons		15
Number of output neurons		3
Population size	Pop-size	30
Parameter of evaluation function		0.5
Crossover probability		0.3
Mutation probability		0.2
Number of iterations	Gen	1000