Investment strategy of colleges based on BP neural network and optimization program

DOI

10.2991/ameii-16.2016.202How to use a DOI?

Keywords

BP Neural Network, Principal Components Analysis, Cluster Analysis

Abstract

In this paper, a model to determine optimal investment strategy for foundation is introduced. Firstly, we preprocess the college data and classify, filter and fill the missing data with clustering analysis and regression method. Secondly, based on Back Propagation (BP) Neural Networks, a model of ROI was established. We find out the relationship between the variables and the comprehensive index. Thirdly, in order to obtain the maximum of ROI under fixed investment, an Optimization Model of fund allocation is built.

Copyright

© 2016, 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  - Dong Chen
AU  - Hongwei Pan
AU  - Yuxia Dai
AU  - Lihong Wang
PY  - 2016/04
DA  - 2016/04
TI  - Investment strategy of colleges based on BP neural network and optimization program
BT  - Proceedings of the 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016)
PB  - Atlantis Press
SP  - 1061
EP  - 1066
SN  - 2352-5401
UR  - https://doi.org/10.2991/ameii-16.2016.202
DO  - 10.2991/ameii-16.2016.202
ID  - Chen2016/04
ER  -