关键词: 生命周期评价, 绿色特征, BP神经网络, 敏感性分析, 方案设计

Abstract: To give feedback directing to scheme optimization in conceptual design stage by using design information,a sensitivity analysis method based on Back Propagation (BP) neural network was proposed.Green features model was established to extract green information which was related to environmental impact.The sensitivity analysis model of BP neural network was established by taking the green information of each life cycle period as input parameters while the results of its life cycle assessment as output parameters respectively.The BP neural network was trained to reach desired accuracy with the researched data.Tchaban theory was used to calculate the sensitive coefficient between green information and life cycle assessment results using link weights exacted from the input layer to the hide layer and the hide layer to the output layer of BP neural network.A traction motor was taken as an example to verify the proposed method,and the impact trend of design variables on evaluation result was determined to provide guidance for design scheme modification.

Key words: life cycle assessment, green features, BP neural network, sensitivity analysis, conceptual design