【摘要】 本文研究了PSO(粒子群优化)算法及一种用于织物染色配色的自适应模糊神经网络(ANFIS),提出了基于织物染色配色的粒子群算法改进的ANFIS配色模型,并进行了仿真试验。从仿真试验的结果看,该配色模型收敛速度快,精确度较未改进的ANFIS模糊神经网络有明显的提高,在解决织物染色配色问题上取得了令人满意的配色效果。更多还原

【Abstract】 The ANFIS and the PSO(Particle Swarm Optimization) are studied in this paper.An ANFIS model for textile dyeing color matching based on PSO is proposed and the simulating process of the model is implemented.The results of experiments show that the model with fast converging speed and better approximating accuracy than the one based on ANFIS,which is satisfying to solve the problem in textile dyeing color matching.更多还原