Title: Technology enterprise value assessment based on BP neural network

Authors: Xiang-Tian Xie

Addresses: Key Laboratory of Science and Technology in Finance, Guangdong University of Finance, Guangzhou, 510521, China

Abstract: Proposed a technology enterprise value assessment model based on BP neural network, considering that the technology enterprise has the characteristics of asset-light and high growth, whose value is difficult to evaluate. The model not only includes the non-financial indicators with intellectual property and the financial indicators with performance, but also has the advantages of artificial intelligence. Through analysing the model, it can be seen that increasing the intellectual property indicators can reduce the assessment deviation and the traingda is optimal in the negative gradient learning functions.

Keywords: technology enterprise; value assessment; BP neural network.

DOI: 10.1504/IJCSM.2020.111112

International Journal of Computing Science and Mathematics, 2020 Vol.12 No.2, pp.192 - 203

Received: 15 Aug 2018
Accepted: 30 Sep 2018
Published online: 10 Nov 2020 *

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