MODIFIED ONLINE SEQUENTIAL FUZZY EXTREME LEARNING MACHINE

Abstract

This report addresses modification for recently developed sequential learning algorithm (OS-Fuzzy ELM ) and its performance evaluation is done using multi-category classification Data Sets of VC, GI and IS and Binary classification data sets like liver disorder from UCI. There are two main sections to the report. The first of these is the presentation of research gathered on fuzzy neural networks and the possible purpose they could serve in communications, as well as giving background information on the individual disciplines. The second half of the report is concerned with Modified OS-Fuzzy ELM algorithm and its performance evaluation and comparison of results with recently developed sequential learning algorithm for Self-adaptive Re- source Allocation Network classifier ( SRAN).