A New Artificial Neural Network Model for the Prediction of the Effect of Molar Ratios on Compressive Strength of Fly Ash-Slag Geopolymer Mortar

Table 5

Weight matrix and bias vector of the hidden layer.

Label	Weight (kn)					Bias (bk)
h1	387.62	74.34	−148.41	−86.69	−157.70	69.33
h2	3.99	7.11	−54.74	−13.79	48.92	−8.28
h3	22.18	172.70	−208.02	−60.03	149.32	77.01
h4	2.49	2.34	−3.60	0.01	8.52	10.00
h5	28.29	38.41	−16.3	−5.49	5.07	48.89
h6	−91.99	−21.12	−84.44	1.75	216.12	19.56
h7	106.19	240.86	262.65	−89.65	105.64	100.45
h8	−3.71	−33.66	6.03	6.45	24.38	−2.31
h9	7.45	10.33	−30.81	−4.46	47.17	28.27
h10	8.27	16.53	−3.63	−2.82	0.27	17.09