摘要
文章采用BP神经网络对织物沾水等级进行评定,所得结果与回归方程模型结果进行比较,BP神经网络评定结果的精度比较高,但是泛化能力较弱,会出现过拟合现象。
BP Neural Network model was used to evaluate the spray rating of fabric,compared with the result of Regression Equation model,its result will be more accurate,but its adaptability is relatively weak and the over fitting phenomenon occurs.
出处
《山东纺织科技》
2009年第4期43-45,共3页
Shandong Textile Science & Technology
关键词
BP神经网络
沾水等级
模糊量
评定
图像处理
BP neural networks
spray rating
fuzzy factor
evaluation
image processing
