A Refined Teaching-Learning Based Optimization Algorithm for Dynamic Economic Dispatch of Integrated Multiple Fuel and Wind Power Plants

Table 2

Parameter selection for designing the various networks.

Parameters	BPN [12]	RBFN [12]	Improved RBFN
Learning rate	0.25	0.8	0.8
Momentum factor	0.9	—	—
Number of neurons in hidden layer	7	7	7
Inputs	3	3	7
Epochs	2000	2000	2000
Training function	Trainlm	Newrb	Newrb
Activation function	Sigmoid function	Gaussian function	Gaussian function