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首页> 外文会议>International Conference on Computational Science and Engineering >Application of Ant Colony Neural Network to Credit Evaluation of Small and Middle Enterprises
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Application of Ant Colony Neural Network to Credit Evaluation of Small and Middle Enterprises

机译：蚁群神经网络在中小企业信用评价中的应用

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摘要

In order to improve capacity of BP neural networks and make short term credit evaluation of small and middle enterprises forecasting more accurate and fast, presents a credit model-based the ACO neural network. Based on the analysis of the importance of credit and according to the demands of credit evaluation of small and middle enterprises, uses ACO algorithm to train neural network. And then this network model is applied to credit evaluation system of small and middle enterprises. Finally, using training samples and test samples, can detect the ant colony neural network. The result demonstrates that the ACO neural network has strong generalization ability than those of the traditional BP neural network method, and that application of credit evaluation system of small and middle enterprises has very high accuracy rate.
机译：为了提高BP神经网络的能力，并对中小企业预测更准确和快速的短期信用评估，呈现基于信用模式的ACO神经网络。基于分析信用的重要性和根据中小企业信贷评估的需求，采用ACO算法培训神经网络。然后这个网络模型适用于中小企业信贷评估系统。最后，使用培训样本和测试样品，可以检测蚁群神经网络。结果表明，ACO神经网络具有强大的泛化能力，而不是传统的BP神经网络方法，中小企业信用评估系统的应用具有非常高的准确率。

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