Research on Mathematical Model P2P Online Credit Risk Evaluation Based on Data Processing

DOI

10.2991/etmhs-15.2015.197How to use a DOI?

Keywords

P2P credit; Data Processing; Evaluation Model; Mathematical Model.

Abstract

Comprehensive evaluation of artificial neural network is intended to establish closer to human thinking mode of qualitative and quantitative selection model, through the sample of pattern of learning, acquiring knowledge evaluation from experts, experience, subjective judgment and a tendency to target the importance of when to make a comprehensive evaluation of the supplier. The data are collected from the investment area, most of which are from the area of network operators with a total of 70 personal loans application records. The first 65 records from the model prediction examine the application of the neural networks and the last five records are for prediction which shows good result.

Copyright

© 2015, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Jun Zhao
PY  - 2015/03
DA  - 2015/03
TI  - Research on Mathematical Model P2P Online Credit Risk Evaluation Based on Data Processing
BT  - Proceedings of the 2015 International Conference on Education Technology, Management and Humanities Science
PB  - Atlantis Press
SP  - 897
EP  - 900
SN  - 2352-5398
UR  - https://doi.org/10.2991/etmhs-15.2015.197
DO  - 10.2991/etmhs-15.2015.197
ID  - Zhao2015/03
ER  -