Evaluation model of enterprise operation based on BP neural network optimization algorithm

doi:10.1088/1742-6596/1570/1/012084

科研成果详情

题名	Evaluation model of enterprise operation based on BP neural network optimization algorithm
作者	Zhang，Yan 1; Hu，Ziwei 2; Ji，Li 3; Sun，Nanlin 3; Lin，Yuluo 4
发表日期	2020-06-18
会议录名称	Journal of Physics: Conference Series
ISSN	1742-6588
卷号	1570
期号	1
摘要	The parameter selection of the traditional BP neural network (BPNN) has randomness, which makes the network prone to local extreme values during the calculation process. In order to solve this problem, this paper introduces the bat algorithm(BA) to optimize the parameter selection process of the BPNN and apply the algorithm to evaluate the enterprises' operating condition, a corresponding evaluation model of the enterprises' operating condition is established, and the evaluation model is applied to the prediction of the enterprises' future operating condition and compared with the prediction effect of the traditional BPNN model. The prediction accuracy of the BPNN optimization algorithm is higher than the prediction accuracy of the traditional BPNN. The established enterprise operation evaluation model can effectively predict the future operation of the enterprise.
DOI	10.1088/1742-6596/1570/1/012084
URL	查看来源
语种	英语English
Scopus入藏号	2-s2.0-85088050824
引用统计	被引频次[WOS]：0 [WOS记录] [WOS相关记录]
文献类型	会议论文
条目标识符	https://repository.uic.edu.cn/handle/39GCC9TT/6166
专题	北师香港浸会大学
通讯作者	Zhang，Yan
作者单位	1.Tongling University,Tongling, Anhui,244000,China 2.Beijing Normal University,Hong Kong Baptist University,United International College,Zhuhai, Guangdong,519000,China 3.University of Chinese Academy of Social Sciences,Beijing,102488,China 4.Chengdu University of Technology,ChengDu, Sichuan,610000,China
推荐引用方式 GB/T 7714	Zhang，Yan,Hu，Ziwei,Ji，Liet al. Evaluation model of enterprise operation based on BP neural network optimization algorithm[C], 2020.