摘要
提出一种基于模糊神经网络和灰色理论结合的参数特征,创建色彩渲染形态预测功能的快速概念评价形象的设计方法。开发了2种评价模型。模型Ⅰ采用模糊神经网络预测整体形象,模型Ⅱ运用灰色聚类和2个模糊神经网络方法进行色彩图像评价、造型形象评价和整体形象的评价。结果表明,模型Ⅱ图像预测能力优于Ⅰ型。将它应用到建立一个与专业CAD系统相结合的设计界面,进行产品设计和形象的评价以证明拟议的产品设计和形象评价方法的有效性。它可以进行任何必要的设计参数修改,以确保最终产品符合其特定的形象目标。
Proposes a rapid conceptual design approach, which creates color-rendered forms and combines parameter based features with fuzzy neural network and gray theory to predict image evaluation. Two evaluation models are developed. Mode Ⅰ uses a fuzzy neural network to predict the overall image, while model Ⅱ uses a gray clustering operation for the color image evaluation and two fuzzy neural networks for the form image evaluation and the overall image evaluation. The results show that the image prediction capability of model Ⅱ is superior to that of model Ⅰ. It is applied to develop a consultative design interface integrated with a professional CAD system in order to demonstrate the effectiveness of the proposed product design and image evaluation approach. It can make any design parameter modifications necessary to ensure that the finished product meets its specified image goals.
出处
《煤矿机械》
北大核心
2010年第5期231-234,共4页
Coal Mine Machinery
基金
河南省教育厅自然科学基金项目(2006460003)
河南科技大学科研基金资助项目(2008ZY056
2006QN039)
