Extreme learning machine based on improved genetic algorithm

摘要

This paper puts forward a novel algorithm called extreme learning machine (ELM) which is optimized by improved genetic algorithm(IGA), and points out the weaknesses of ELM. The input weights and thresholds randomly generated by ELM are optimized by IGA. After it, ELM can get the more effective input weights and thresholds and be better applied in function approximation. The results of simulation shows that the optimized algorithm has a high approximation accuracy and faster convergence speed.