摘要
研究神经网络应用于染色的计算机配色算法,分析了现有BP网络配色模型的不足,提出了使用有弹回的BP算法,以改进现有配色模型的方法,并进行了仿真试验。从仿真结果看,改进后的配色模型无论在收敛速度还是配色精度方面都有了较大的提高。
The algorithms on neural network in dyeing computer color matching are studied in this paper. The disadvantages of the BP model of color matching in network being used are analyzed, and a new model based on BP algorithms is proposed and simulation experiments are carried out.The results of the experiments show that the new model is effective both in convergence speed and minimizing the deviation of color matching,
出处
《印染》
北大核心
2005年第18期29-31,共3页
China Dyeing and Finishing
关键词
染色
配色
计算机应用
dyeing
color combination
computer application
