Lung Cancer Classification Employing Proposed Real Coded Genetic Algorithm Based Radial Basis Function Neural Network Classifier

Table 4

Algorithmic parameters of the proposed RCGA-RBFNN classifier.

Parameters	Proposed RCGA	Parameters	Proposed RBFNN classifier
Population size	30	Learning Rate	1
Number of generations	100	Number of Iterations	100
Crossover probability	0.1	Spread	3
Mutation probability	0.01	Momentum Factor	0.2
30 independent trial runs are taken for RCGA flow process