基于BP神经网络的水刺非织造布刚柔性能的研究

On spunlaced nonwovens flexible study by BP neural network

以BP神经网络为工具,研究影响水刺非织造布的刚柔性因素,并针对影响刚柔性的主要因素———材料配比和铺网方式进行分析.首先处理实验数据并通过灰色系统预测将数据补充完整,然后通过神经网络模型进行训练和预测,最后用计算机模拟的方法选出最优的工艺参数.研究证明,该方法具有较高的实际价值和广阔的应用前景.

Using BP neural network to study the factors influencing the flexibility of spunlace non-woven fabrics, through analysing the main factors affecting the flexiblematerial ratio and the mode of net laying. First of all, we should process the experimental data and complete it through the gray system prediction, then, train and forecast are made through neural network mode; at last, the optimum technological parameter is chosen by computer simulation method. The results show that the method has higher practical value and wider application prospect.