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

Table 7

Final values of weights and biases of the typical ANN-CG model (Case 2).

IW (10 × 9)									LW (1 × 10)	BL (1 × 10)	BO (1 × 1)
−0.576	−0.075	−0.679	0.078	−0.113	−0.950	1.181	−0.257	0.343	0.410	1.589	−0.390
0.367	0.052	0.518	−0.424	−0.739	0.350	0.784	0.819	−0.877	−0.285	−1.485	—
1.281	−0.106	−0.286	0.648	−0.339	0.771	−0.897	0.585	−0.540	0.645	−0.663	—
0.278	0.060	−1.788	0.298	−0.343	−0.402	0.014	0.061	0.887	0.976	−0.924	—
−0.469	−0.099	0.137	−0.538	1.265	−0.285	0.417	−0.103	−1.010	0.307	0.384	—
−0.036	−0.891	0.371	−0.054	0.743	0.517	−0.866	−0.274	0.671	−0.083	−0.067	—
−0.440	0.312	−1.232	−0.598	−0.621	−1.295	0.010	−0.475	−0.229	0.019	−0.601	—
−0.290	−0.348	−0.482	0.505	1.006	−0.248	−0.507	−0.133	0.930	0.234	−1.274	—
0.395	0.257	−0.233	−0.362	0.718	−0.166	0.734	−0.552	−1.248	0.471	1.490	—
−0.311	0.658	0.839	−0.248	0.276	0.947	0.875	0.519	−0.070	0.398	−1.798	—

Note. IW = the input to hidden layer weights; LW = the hidden layer to output layer weights; BL = the input to hidden layer biases; BO = the hidden layer to output layer bias.