摘要
针对玻璃纤维生产过程中原丝产量的影响因素多,当某些生产条件发生变化时,无法对原丝产量做出准确预测的情况,通过采用BP人工神经网络,结合matlab软件,实现了在池窑生产过程中,当生产条件发生变化时对原丝产量做出准确预测。
Due to many factors affecting the strand output in glass fiber production, it is difficult to predict accu- rately the strand output when some production conditions have changed. By using BP artificial neural network in combination with matlab software, the strand output can be predicted accurately during glass fiber manufacturing by direct-meh process.
出处
《玻璃纤维》
CAS
2014年第1期11-15,共5页
Fiber Glass
关键词
人工神经网络
BP算法
玻璃纤维
artificial neural network
BP algorithm
glass fiber
