A Venture Capital Assessment Model based on the Genetic Neural Network

DOI

10.2991/cse.2013.27How to use a DOI?

Keywords

venture capital; venture evaluation; benefit valuation,;index system

Abstract

With the rapid development of economy, there are greater challenges in Venture Capital. In the face of the venture project selecting, scientific evaluation of investment venture has been an important issue in venture investment, and it directly influences the success or failure of investment. In this paper, we analyzed the venture evaluation index system, and apply the improved genetic algorithm (GA) to processes of the neural network construction and training, and then we set up an evaluation model of genetic algorithm and artificial neural network. In order to solve problems of venture -benefit assessment in the venture investment, we presented a method which is under the dynamic factors influence. And use of it, investors can make scientific decision according to the preference of venture and benefit. The experimental results show that the model we presented can effectively improve evaluation efficiency, and increase the rationality and correctness of venture evaluation system.

Copyright

© 2013, 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  - Tieying Liu
AU  - Yuting Fan
AU  - Xinzhu Xu
PY  - 2013/07
DA  - 2013/07
TI  - A Venture Capital Assessment Model based on the Genetic Neural Network
BT  - Proceedings of the 2nd International Conference on Advances in Computer Science and Engineering (CSE 2013)
PB  - Atlantis Press
SP  - 115
EP  - 118
SN  - 1951-6851
UR  - https://doi.org/10.2991/cse.2013.27
DO  - 10.2991/cse.2013.27
ID  - Liu2013/07
ER  -