An Intelligent Ensemble Neural Network Model for Wind Speed Prediction in Renewable Energy Systems

Table 4

Design parameters of the proposed ensemble NN model.

Sl. number	Proposed individual ensemble NN model	Design parameters	Set values of design parameters
1	Multilayer perceptron (MLP) network	Inputs	4
		Number of iterations	2000
		Learning rate	0.2
		Threshold	1
		Activation function	Binary linear activation function
2	Madaline model	Inputs	4
		Number of iterations	2000
		Learning rate	0.2
		Number of hidden layer	1
3	Back propagation neural network (BPN)	Inputs	4
		Number of iterations	2000
		Learning rate	0.3
		Momentum factor	0.7
		Activation function	Binary sigmoidal function
4	Probabilistic neural network (PNN)	Inputs	4
		Number of iterations	2000
		Smoothing factor	6.1