Modelling and Output Power Estimation of a Combined Gas Plant and a Combined Cycle Plant Using an Artificial Neural Network Approach

Table 6

Hidden layers’ size impact of the SCG training algorithm.

Hidden layers	Training performance	Validation performance	Training regression	Validation regression	Test regression	Stopping criterion	Iteration	Best epoch
10	18.106	16.620	0.968	0.971	0.972	Validation stops	139	133
20	18.172	18.326	0.968	0.965	0.970	Validation stops	127	121
50	18.839	18.132	0.967	0.967	0.967	Validation stops	111	105
100	16.330	19.446	0.971	0.966	0.969	Validation stops	230	224
200	19.328	19.799	0.966	0.964	0.964	Validation stops	227	221
500	25.786	33.113	0.956	0.943	0.947	Validation stops	307	301