On the Training Algorithms for Artificial Neural Network in Predicting the Shear Strength of Deep Beams

Table 2

Summary of ANN training algorithms and structure used in this study.

Parameter	Parameter	Description
Fix	Neurons in input layer	9
	Neurons in output layer	1
	Hidden layer activation function	Sigmoid
	Output layer activation function	Linear
	Cost function	Mean square error (MSE)
	Number of hidden layer	1
	Neurons in hidden layer	10
	Number of simulations	300
Investigation	Training algorithms	Levenberg–Marquardt (ANN-LM)
		Conjugate gradient (ANN-CG)
		Quasi-Newton method (ANN-QN)
		Gradient descent (ANN-GD)
	Number of epochs	Varying from 100 to 1000 with a step of 100