EURASIP Journal on Advances in Signal Processing

Table 2 Parameters of the GABP model

From: Prediction modeling of cigarette ventilation rate based on genetic algorithm backpropagation (GABP) neural network

Parameters	Value
Neurons at the input layer	6
Neurons at the hidden layer	9
Neurons at the output layer	1
Learning rate	0.01
Total epochs	2000 (best = 4)
Activation	Tansig, purelin
Training function	Gradient descent
Population size	200
Number of evolutions	500
Selection factor	0.09
Crossover factor	0.4
Mutation factor	0.001

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