Supported by the National Natural Science Foundation of China(61374044);Shanghai Science Technology Commission(12510709400);Shanghai Municipal Education Commission(14ZZ088);Shanghai Talent Development Plan
This paper focuses on resolving the identification problem of a neuro-fuzzy model(NFM) applied in batch processes. A hybrid learning algorithm is introduced to identify the proposed NFM with the idea of auxiliary erro...
This paper proposes a selfsimilar local neurofuzzy (SSLNF) model with mutual informati onbased input selection algorithm for the shortterm electricity demand forecasting. The proposed self similar model is composed ...