Prediction Model for Object Oriented Software Development Effort Estimation Using One Hidden Layer Feed Forward Neural Network with Genetic Algorithm

Table 1

Control parameters of GA for adjusting the weight of connections in OHFNN 16-19-1 for optimizing the root mean square error.

Parameters	Value
Population size	10000
Elite count	4
Crossover fraction	0.7000
Generations	500
Initial population	[10000×343 double]
Selection function	Roulette
Crossover function	Heuristic
Number of variables	343
Scaling function	Rank