Refrigerated Showcase Fault Analysis by a Correntropy Based Artificial Neural Network Using Particle Swarm Optimization

This paper proposes refrigerated showcase fault analysis by a correntropy based Artificial Neural Network (ANN) using Particle Swarm Optimization (PSO). Effectiveness of the proposed method is verified by comparison with conventional weighted least square (WLS) basedANNs using back-propagation (BP) and PSO with actual showcase data.