摘要
介绍了在毛精纺面料织造过程中应用的神经网络技术及不同的改进算法,给出了织造预报的实际模型和试验结论,并对织机效率预报模型进行实例训练,预报结果验证了几种典型学习算法的性能。
Apphcation of neural network technology in worsted weaving and different forecast models are introduced in this paper with practical forecast models and experimental results put forward. Also weaving efficiency forecast models are trained, and different especial arithmetics are demonstrated by actual experimental results.
出处
《上海纺织科技》
北大核心
2008年第1期3-5,共3页
Shanghai Textile Science & Technology
关键词
毛纺
织造
质量预报
BP神经网络
改进算法
wool spinning
weaving
quality forecast
BP neural network
improved arithmetic
