Enterprise Credit Evaluation Model Based on Genetic Algorithm Optimization BP Neural Network
Yu-jing Zhang, Qian Li, Zhi-wang Jiang, Hong-xia Zhang
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.31How to use a DOI?
- Power supply enterprise; Credit evaluation; Genetic algorithm; BP neural network
- Credit is very important for the enterprise, analysis of a comprehensive evaluation of enterprise credit, can enhance the risk control ability of enterprise credit, improve enterprise credit rating.The paper establishes BP neural network credit evaluation model based on genetic algorithm GA optimization ,and to the power supply enterprise credit evaluation as an example, to verify the practicability of the model in the evaluation of enterprise credit. Examples of verification results indicate that the genetic algorithm (GA) to optimize the BP neural network is better than traditional BP neural network , it's evaluation has higher accuracy, stronger generalization ability, more suitable for the enterprise credit evaluation. Introduction
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yu-jing Zhang AU - Qian Li AU - Zhi-wang Jiang AU - Hong-xia Zhang PY - 2015/04 DA - 2015/04 TI - Enterprise Credit Evaluation Model Based on Genetic Algorithm Optimization BP Neural Network BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SP - 174 EP - 178 SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.31 DO - https://doi.org/10.2991/amcce-15.2015.31 ID - Zhang2015/04 ER -