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

Abstract:

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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.

Info:

Periodical:

Advanced Materials Research (Volumes 361-363)

Edited by:

Qunjie Xu, Honghua Ge and Junxi Zhang

Pages:

1499-1505

DOI:

10.4028/www.scientific.net/AMR.361-363.1499

Citation:

L. M. Liu et al., "Hybrid Strategy for Product Quality Credit Evaluation Based on Statistics and Artificial Neural Network", Advanced Materials Research, Vols. 361-363, pp. 1499-1505, 2012

Online since:

October 2011

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Price:

$35.00

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