Paper Title:
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.

  Info
Periodical
Advanced Materials Research (Volumes 361-363)
Chapter
Chapter 11: Environmental Protection and Economic Development
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, H. Qian, Y. C. Gao, D. Wang, "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
$32.00
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