Analysis of training function for NNARX in solar radiation prediction modeling

• Main Authors: Mohd Rizman, Sultan Mohd, Juliana, Johari, Fazlina, Ahmat Ruslan, Noorfadzli, Abdul Razak, Salmiah, Ahmad, Ahmad Syahiman, Mohd Shah
• Format: Conference or Workshop Item
• Language: English; English
• Published: Springer Science and Business Media Deutschland GmbH 2022
• Subjects: T Technology (General); TA Engineering (General). Civil engineering (General); TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/39472/1/Analysis%20of%20Training%20Function%20for%20NNARX%20in%20Solar%20Radiation%20Prediction.pdf; http://umpir.ump.edu.my/id/eprint/39472/2/Analysis%20of%20training%20function%20for%20NNARX%20in%20solar%20radiation%20prediction%20modeling_ABS.pdf; http://umpir.ump.edu.my/id/eprint/39472/; https://doi.org/10.1007/978-981-16-8515-6_47

Neural Network Autoregressive Model with Exogenous Input (NNARX) is one of the Evolutionary Neural Network that had been used to develop a prediction model for solar radiation which involves a dynamic non-linear for a time-series based prediction. The whole process of Training, Testing, and Validati...