Development and Optimization for a New Planar Spring Using Finite Element Method, Deep Feedforward Neural Networks, and Water Cycle Algorithm

Table 6

Experimental design using L₉.

No.	Training function	Number of hidden layers	Number of nodes	Divide data
1	trainlm	2	7	60 : 20 : 20
2	trainlm	3	9	70 : 15 : 15
3	trainlm	4	11	80 : 10 : 10
4	traincgb	2	9	80 : 10 : 10
5	traincgb	3	11	60 : 20 : 20
6	traincgb	4	7	70 : 15 : 15
7	trainscg	2	11	70 : 15 : 15
8	trainscg	3	7	80 : 10 : 10
9	trainscg	4	9	60 : 20 : 20