The Use of Artificial Neural Network for Prediction of Dissolution Kinetics

Table 4

The RMSE statistics of the ANN models in testing for two hidden layers.

𝑋^∗	1			2			3			4			5
𝑌^∗	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2
1	0.0320	0.0245	0.962	0.0319	0.0245	0.9616	0.0629	0.0486	0.7928	0.0469	0.0312	0.8822	0.0477	0.0323	0.8852
2	0.0187	0.0168	0.9814	0.0236	0.0186	0.97	0.4184	0.3963	NaN	0.0171	0.014	0.9868	0.0191	0.0127	0.9801
3	0.0229	0.0151	0.9836	0.0154	0.0121	0.987	0.0129	0.0101	0.9939	0.1442	0.0456	0.195	0.0179	0.0157	0.9828
4	0.0268	0.0215	0.9609	0.0107	0.0089	0.9945	0.0322	0.0222	0.943	0.0902	0.0366	0.592	0.0219	0.0144	0.9749
5	0.0143	0.0114	0.9905	0.0105	0.0082	0.9961	0.0228	0.0174	0.9714	0.0249	0.0175	0.9717	0.0277	0.0183	0.9588
6	0.0147	0.01	0.989	0.0142	0.0106	0.9923	0.0285	0.0145	0.9627	0.0217	0.0158	0.9811	0.022	0.0161	0.98
7	0.0286	0.0147	0.9601	0.017	0.0135	0.9852	0.0156	0.0093	0.9893	0.0073	0.0061	0.9975	0.0159	0.0133	0.9904
8	0.0177	0.0118	0.9836	0.0281	0.0188	0.9565	0.0889	0.048	0.8232	0.0219	0.015	0.9809	0.07	0.037	0.7685
9	0.0282	0.0213	0.9632	0.0313	0.0194	0.9495	0.0263	0.0168	0.9831	0.0575	0.0464	0.8877	0.0275	0.0192	0.9686
10	0.0226	0.0171	0.9729	0.0533	0.0352	0.8669	0.0418	0.0192	0.9618	0.0193	0.0132	0.9874	0.0179	0.0134	0.9826
𝑋^∗	6			7			8			9			10
𝑌^∗	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2	RMSE	MAE	𝑅^2
1	0.0716	0.0436	0.8371	0.0712	0.0447	0.8416	0.0544	0.0452	0.8401	0.0449	0.0325	0.8908	0.044	0.0355	0.8941
2	0.0387	0.0258	0.9375	0.1006	0.0349	0.5589	0.0757	0.0508	0.861	0.0904	0.0536	0.6878	0.1476	0.0808	0.3663
3	0.1158	0.0432	0.6194	0.0459	0.0268	0.9042	0.0193	0.0151	0.9813	0.0301	0.0222	0.9503	0.1174	0.0814	0.4844
4	0.0385	0.0244	0.9406	0.1053	0.0548	0.8877	0.0779	0.035	0.7952	0.1249	0.0671	0.5727	0.0387	0.0254	0.9448
5	0.0684	0.0385	0.7699	0.0157	0.0129	0.9885	0.0145	0.0116	0.9905	0.4184	0.3963	0.0723	0.0298	0.0166	0.9697
6	0.0352	0.0235	0.939	0.0908	0.0489	0.8513	0.1306	0.0529	0.5611	0.0435	0.0187	0.9046	0.0291	0.0225	0.9597
7	0.0307	0.0188	0.9514	0.0136	0.0118	0.9925	0.0497	0.0223	0.8686	0.0365	0.0236	0.9419	0.0129	0.0102	0.9926
8	0.0162	0.012	0.9874	0.0368	0.0273	0.9329	0.0349	0.0257	0.9443	0.0279	0.0185	0.9744	0.0154	0.0131	0.9874
9	0.0436	0.029	0.8985	0.0462	0.0304	0.9288	0.0458	0.024	0.892	0.0225	0.0184	0.9732	0.039	0.0308	0.9325
10	0.0318	0.0195	0.9712	0.0424	0.02	0.9675	0.0275	0.0185	0.9594	0.0243	0.0186	0.9696	0.051	0.0225	0.8714

^∗𝑋: number of nodes in the second hidden layer. 𝑌: number of nodes in the first hidden layer.