Hybrid ANFIS-PSO approach for predicting optimum parameters of a protective spur dike

摘要: A protective spur dike is used to reduce scour depth around main dikes.A new hybrid approach, combining particle swarm optimization and adaptive-network-based fuzzy inference system (ANFIS-PSO) was used.Optimized parameters of the are presented. In this study a approach proposed determine optimum mitigate scouring amount existing dikes. The studied were angle relative flume wall, its length, distance from dikes, flow intensity, diameters sediment particles that explored find amounts. prediction phase, novel developed, predict dike's in order control series results indicated accuracy method increased significantly compared other approaches. addition, effectiveness developed confirmed using available data.