Novel Cooperative Multi-Input Multilayer Perceptron Neural Network Performance Analysis with Application of Solar Irradiance Forecasting

Table 9

Comparative analysis of different approach performances of the existing and proposed methods.

S. no	Year	Methods	Authors	Performance indicator (MSE)
1	2010	BPN	Özgür Solmaz et al. [11]	0.8472
2	2010	RBFN	Mohammed Benghamm and Adel Mellit [12]	0.0189
3	2012	ANN	Amit Kumar Yadav and S S Chandel [14]	2.8460
4	2012	BP-MLPN	H G CHUA et al. [15]	1.1744
5	2016	IBPN	Madhiarasan, M. and Deepa, SN [46]	0.0507
6	2016	INN	Madhiarasan, M. & Deepa, SN [18]	0.0036
7	2017	K-NN-BPLNN	Unit Three Kartini and Chao Rong Chen [24]	5.4827
8	2017	MLPN	Madhiarasan, M. and Deepa, SN [47]	0.0012
9	2018	NWP	Sowmya Tiwari et al. [33]	8.2628
10	2018	Elman neural network	Madhiarasan, M. and Deepa, SN [48]	0.1422
11	2018	ARMA	Irene Wanady [29]	1.6140
12	2018	BPN	Tanawat Laopaiboon et al. [30]	0.7336
13	2018	MLP	Marcello Anderson F. B. Lima et al. [27]	0.0283
14	2018	RELANFIS	Shihabudheen K V and G V Pillai [32]	0.6384
15	2018	WVE	Luyao et al. [28]	0.0781
16	2019	NARX	John Kevin Rogies and Nawaz Mohamudally [37]	0.9568
17	2019	LM based ANN	Sempe Leholo et al. [41]	0.2591
18	2019	ANN-NARX	Chigbogu Godwin Ozoegwu [38]	0.1918
19	2021	Proposed CMMLPNN	Madhiarasan, M et al.	0.000385

Bold implies an optimal result.