Development of Neural-Net-Based Decision Support System for Mattress Patterns Using Particle Swarm Optimization
Mitsue Kato, Toru Yamamoto · International Journal of Automation Technology · 2010
The particle swarm optimization (PSO) concept simulating a simplified social milieu, is optimization useful for solving nonconvex continuous optimization problems. We discuss a new learning algorithm for simultaneously adjusting connection weights in neural networks and user-specified parameters included in units. Based on our algorithm, neural network learning, e.g., learning cost or adaptability, can be improved, as demonstrated in mattress decision support system.