Vibro-Fluidized Bed Drying of Pumpkin Seeds: Assessment of Mathematical and Artificial Neural Network Models for Drying Kinetics

Table 5

Weights and biases for the obtained neural network.

j, k	Weights				Bias
					bj	bk
1	3.4253	−2.6199	0.3718	0.3905	−4.959	2.1745
2	3.3791	5.0788	0.8209	0.8345	−5.0407	2.2252
3	−5.4467	6.1391	−0.61	−0.6045	3.7684	—
4	4.4125	−2.2221	−0.6507	−0.6479	−1.7083	—
5	0.5999	3.3198	−0.0667	−0.0666	−1.105	—
6	−5.3801	−3.3426	0.2788	0.2695	−0.8644	—
7	−4.0007	−1.7235	−0.2726	−0.2522	−0.8594	—
8	0.1321	4.0858	−3.5083	−3.5636	4.7189	—
9	3.6053	2.1813	−0.4538	−0.4614	4.7392	—
10	1.7939	4.7844	2.0048	2.0376	7.2173	—

: weight, b: bias, i: input layer node, j: hidden layer node, and k: output layer node.