摘要
应用改进的 BP 网络训练方法建立了旋转闪蒸干燥啤酒糟的过程模型。采用计算机模拟方法分析基于该人工神经网络黑箱敷学模型测量系统的误差,通过上千次的产生直接量的随机数,结果表明计算机模拟方法分析人工神经网络测量系统误差可行,具有应用价值。
The calculating model of the drying of beer less is established by applying BP-ANN,and the model is put to use to measure the drying process on line.The measurement error is analysed by imitation of the real measurement system in applying computer.The results show that applying the method to resolve the problems of measurement accuracy is feasible and worth utilizing.
出处
《辽宁工程技术大学学报（自然科学版）》
CAS
北大核心
2004年第z1期145-146,共2页
Journal of Liaoning Technical University (Natural Science)
关键词
计算机模拟
误差分析
干燥过程测量
人工神经网络模型
computer imitation
analysis of error
drying process
artificial natural network model
