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基于BP算法的神经网络信用风险度量实证研究 被引量:4

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摘要 理论与实际相结合,应用神经网络技术,构建了一个基于BP神经网络技术的信用风险评价模型,对我国传统的信用风险分析方法进行改进,克服了以往我国信用风险度量中存在主观随意性的特点,为我国信用风险度量模型的建设拓宽了思路,丰富了我国信用风险体系建设中的度量方法。
作者 吴永兴
出处 《云南财经大学学报(社会科学版)》 2010年第3期50-52,共3页 Yunan Finance & Economics University Journal of Economics & Management
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