基于BP神经网络的产品造型设计评价

为了对产品的造型设计进行评价,在分析人工神经网络原理的基础上提出了应用BP神经网络评价产品造型设计的方法.根据BP神经网络具有自学习、自组织、自适应和非线性动态处理等优点,建立了产品造型设计BP神经网络评价模型,选择某一产品造型设计的13款方案作为样本,利用Matlab软件进行了BP网络的实例训练和验证.实验结果表明,BP神经网络模型可以较准确的对产品造型设计进行评价.

Evaluation of product model design based on BP neural network

For evaluating product model design, the method of using BP neural network is given to evaluate product model design after analysis theory of artificial neural network. Based on discussing on the self-learning, self-organizing, adaptive and nonlinear dynamic handling characteristics of the BP neural network, product model design evaluating model of BP neural network is set up. 13 samples,from 13 product model designs, are used for network training and testing by Matlab. The results of simulation test show that BP neural network is the efficient and accurate method to evaluate product model design.