马辉.基于BP神经网络的飞行器外观设计评价模型[J].包装工程,2018,39(18):129-133. |
基于BP神经网络的飞行器外观设计评价模型 |
Evaluation Model of Aircraft Exterior Design Based on BP Neural Network |
投稿时间:2018-06-09 修订日期:2018-09-20 |
DOI:10.19554/j.cnki.1001-3563.2018.18.025 |
中文关键词: BP神经网络 飞行器外观设计 评价模型 产品设计 工业设计 |
英文关键词: BP neural network aircraft exterior design evaluation model product design industrial design |
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中文摘要: |
目的 建立基于BP神经网络的飞行器外观设计评价模型,使飞行器外观设计更加科学化、符合实际需求。方法 基于BP神经网络的飞行器外观设计评价方法是通过建立综合评价指标体系,并组织专家对样本进行评判打分,得到神经网络的训练、检验数据,由MATLAB仿真计算出各项指标的权重关系,并提炼出反应各项评价指标和综合评价结果的非线性关系。结论 BP神经网络的评价模型降低了综合评价法、层次分析法评价过程中主观因素的影响,能够客观、全面地对飞行器外观设计做出评价,为选择最优的飞行器外观设计方案提供有效的参考依据。 |
英文摘要: |
Through establishment of evaluation model based on BP neural network, the aircraft exterior design is more scientific and truthful. The model is designed to chalk up neural network’s training and inspecting data, through building comprehensive evaluation index system and organizing experts into judging and marking for the sample data. We use MATLAB to simulate and calculate the weight relation of every index, then refine the non-linear relationship between the indexes and comprehensive evaluation results. Evaluation model based on BP neural network reduces the influence of subjective factors in the process of comprehensive evaluation, and hierarchical analysis. In addition, the model can make evaluation of the aircraft exterior design, objectively and roundly, and give a effective reference to select the optimal aircraft exterior design scheme. |
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