FUKUYAMA Yoshikazu    Department   Undergraduate School  , School of Interdisciplinary Mathematical Sciences    Position   Professor
Date	2018/11/06
Presentation Theme	Refrigerated Showcase Fault Analysis by Artificial Neural Network using Correntropy based Differential Evolutionary Particle Swarm Optimization
Conference	Workshop on System and Smart Facility Technologies in IEE of Japan
Promoters	System Technology and Smart Facility Technology Comittees in IEE of Japan
Conference Type	Workshop/Symposium
Presentation Type	Speech (General)
Contribution Type	Collaborative
Venue	Kagurazaka Campus, Tokyo University of Science
Publisher and common publisher	Naoya Otaka, Yoshikazu Fukuyama, Yu Kawamura, Kenya Murakami, Adamo Santana, Tatsuya Iizaka, Tetsuro Matsui,
Details	This paper proposes refrigerated showcase fault analysis by a correntropy based artificial neural network (ANN) using differential evolutionary particle swarm optimization (DEEPSO). Effectiveness of the proposed method is verified by comparison with conventional least square error (LSE) based ANNs using backpropagation (BP), particle swarm optimization (PSO) and DEEPSO with actual showcase data.