Hybrid Strategy for Product Quality Credit Evaluation Based on Statistics and Artificial Neural Network

Abstract:

In China, quality credit is an important part of the social credit system, and evaluation of quality credit is the key to the construction of quality credit system. In this paper, on the basis of product quality credit factor analysis and evaluation index construction, a hybrid strategy of three stages is proposed according to the different nature of indicators. The emphasis is put on intelligent evaluation model based on statistics and artificial neural network. According to the results of experimental verification, this credit evaluation method shows a high accuracy for the evaluation of quality credit.

• Periodical: Advanced Materials Research (Volumes 361-363)
• Pages: 1499-1505
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.361-363.1499
• Online since: October 2011
• Authors: Li Mei Liu, Heng Qian, Yong Chao Gao, Ding Wang
• Keywords: Artificial Neural Network (ANN), Evaluation Model, Hybrid Strategy, Product Quality Credit

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