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Research of Product Styling Design Method Based On Neural Network

机译:基于神经网络的产品造型设计方法研究

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Applying the frame and theory of Kansei Engineering system, the product styling design method based on neural network is presented. Firstly, the consumer's preference of kansei image is abstracted with the classifying survey and image survey. Then new samples are designed to carry out the image survey again. Thirdly, the nonlinearity evaluate model of product image is established based on neural network, whose process of back propagation will reason out the design knowledge database and evaluate new designed product. Therefore, the method will be applied to aid product styling design availably. At last, it proves the method is feasible and reasonable using the example validation and designing the applied CAD system.
机译:介绍了基于神经网络的产品造型设计方法,应用了Kansei工程系统的框架和理论。首先,消费者对Kansei图像的偏好是用分类调查和图像调查抽象的。然后,新的样本旨在再次进行图像调查。第三,基于神经网络建立了产品图像的非线性评估模型,其后传播过程将推出设计知识库并评估新设计的产品。因此,该方法将应用于辅助产品造型设计。最后,它证明了使用示例验证和设计所应用的CAD系统是可行的和合理的方法。

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