Financial Distress Prediction by a Radial Basis Function Network

机译：径向基函数网络的财务困境预测

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摘要

This paper presents a financial distress prediction model that combines the techniques of a neural network and the logit analysis approach. The Radial Basis Function Network (RBFN) is adopted to construct the prediction model. The RBFN can group similar firms together and perform of a local logit analysis to each group.

机译：本文提出了一个财务困境预测模型，该模型结合了神经网络技术和logit分析方法。采用径向基函数网络（RBFN）构建预测模型。 RBFN可以将类似的公司分组在一起，并对每个组执行本地logit分析。

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《International Conference on Cybernetics and Information Technologies, Systems and Applications(CITSA2004) and 10th International Conference on Information Systems Analysis and Synthesis(ISAS2004) vol.3》|2004年|32-37|共6页
会议地点 OrlandoFL(US)
作者
Ching-Lung Chen; Chung-Jen Fu; Chi-Bin Cheng;
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作者单位

Dept. of Accounting, Chaoyang University of Technology, Taiwan;

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会议组织
原文格式 PDF
正文语种 eng
中图分类通信;
关键词
financial distress prediction; radial basis function network; neural networks; logit analysis;

机译：财务困境预测；径向基函数网络神经网络; Logit分析;

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1. Financial Distress Prediction by a Radial Basis Function Network with Logit Analysis Learning [J] . Chi-Bin Cheng, Ching-Lung Chen, Chung-Jen Fu Computers & mathematics with applications . 2006,第3a4期

机译：径向基函数网络的Logit分析学习预测财务困境
2. An adaptive local linear optimized radial basis functional neural network model for financial time series prediction [J] . Patra A., Das S., Mishra S. N., Neural computing & applications . 2017,第1期

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3. Effect of different basis functions on a radial basis function network in prediction of drill flank wear from motor current signals [J] . Saurabh Garg, Karali Patra, Surjya K. Pal, Soft Computing . 2008,第8期

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4. Financial Distress Prediction by a Radial Basis Function Network [C] . Ching-Lung Chen, Chung-Jen Fu, Chi-Bin Cheng International Conference on Cybernetics and Information Technologies, Systems and Applications(CITSA2004) and 10th International Conference on Information Systems Analysis and Synthesis(ISAS2004) vol.3 . 2004

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5. Prediction of enzyme inhibition and receptor antagonist properties from molecular structure, and, Development of radial basis function neural networks for the analysis of inhibitor binding. [D] . Patankar, Suhas J. 2003

机译：从分子结构预测酶抑制和受体拮抗剂特性，以及开发用于分析抑制剂结合的径向基函数神经网络。
6. Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs [O] . Nguyen-Quoc-Khanh Le, Yu-Yen Ou 2016

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7. Financial distress prediction by a radial basis function network with logit analysis learning [O] . Cheng Chi-Bin, Chen Ching-Lung, Fu Chung-Jen 2006

机译：基于径向基函数网络的Logit分析学习预测财务困境

Financial Distress Prediction by a Radial Basis Function Network

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