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基于PSO算法改进的ANFIS在织物染色配色中的应用研究
引用本文:任晓雪,张秉森,王书州. 基于PSO算法改进的ANFIS在织物染色配色中的应用研究[J]. 世界科技研究与发展, 2009, 31(2): 239-241
作者姓名:任晓雪  张秉森  王书州
作者单位:青岛大学信息工程学院,青岛,266071;北京高鸿软通科技有限公司郑州分公司,郑州,450003
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。

关 键 词:织物染色  配色  粒子群算法  模糊推理

Research On Application of ANTIS in Textile Dyeing Color Matching Based On PSO Algorithm
PEN Xiaoxue,ZHANG Bingsen,WANG Shuzhou. Research On Application of ANTIS in Textile Dyeing Color Matching Based On PSO Algorithm[J]. World Sci-tech R & D, 2009, 31(2): 239-241
Authors:PEN Xiaoxue  ZHANG Bingsen  WANG Shuzhou
Affiliation:REN Xiaoxue, ZHANG Bingsen, WANG Shuzhou (1. College of Information Engineering, Qingdao University, Qingdao 266071 ; 2. Zhengzzhou Branch of Beijing Gaohong Software Technology Ltd, Zhengzhou 450003 )
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.
Keywords:textile dyeing  color matching  particle swarm optimizer  fuzzy reasoning
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