Prediction of Feature Matching Between End-of-Life Vehicle Recycling and Remanufacturing Manufacturers and Producer Service Demand

Abstract

Abstract: With the rapid development of the China automobile recycling and remanufacturing market, a BP neural network and genetic algorithm mixed model for featuring matching between end-of-life vehicle recycling and remanufacturing manufacturers and producer service demand is presented. On the basis of ascertaining the feature parameters and collecting data through questionnaire, principal component analysis is used to eliminate information overlapping of the raw data and reduce the input dimension. Then, a prediction model of genetic algorithm-BP neural network is proposed and finally used for training, testing data and predicting manufacturers-service demand.

Key words: end-of-life vehicle recycling and remanufacturing, feature matching, producer service, BP neural network, genetic algorithm

Pang Jin-ru1, Li Guowei2,3, Jiang Zhi-bin1, Geng Na1. Prediction of Feature Matching Between End-of-Life Vehicle Recycling and Remanufacturing Manufacturers and Producer Service Demand[J]. Industrial Engineering Journal , 2014, 17(3): 114-120.

References

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