On Equivalence of FIS and ELM for Interpretable Rule-Based Knowledge Representation

• Main Authors: Wong, S.Y., Yap, K.S., Yap, H.J., Tan, S.C., Chang, S.W.
• Format: Article
• Published: Institute of Electrical and Electronics Engineers (IEEE) 2015
• Subjects: QA75 Electronic computers. Computer science; QH Natural history; TJ Mechanical engineering and machinery; TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.um.edu.my/19441/; http://dx.doi.org/10.1109/TNNLS.2014.2341655

This paper presents a fuzzy extreme learning machine (F-ELM) that embeds fuzzy membership functions and rules into the hidden layer of extreme learning machine (ELM). Similar to the concept of ELM that employed the random initialization technique, three parameters of F-ELM are randomly assigned. The...