NDLI: Performance assessment based on BP neural networks in knowledge-based companies

Content Provider	IEEE Xplore Digital Library
Author	Li Zhang Lu Wang Yezhuang Tian
Copyright Year	2008
Description	Author affiliation: Sch. of Manage., Harbin Inst. of Technol., Harbin (Li Zhang; Lu Wang; Yezhuang Tian)
Abstract	This paper evaluates the performance in knowledge-based companies by using back propagation (BP) neural networks. Based on the theory and methods on performance, this paper presents the variables to evaluate performance in knowledge-based companies. With the application of BP neural networks, this paper constructs a model and describes the steps to use BP neural networks in performance assessment. By using Matlab 6.0, this paper conducts the empirical study to evaluate performance in 30 knowledge-based companies. The results show that BP neural network is important to evaluate the current performance and forecast the future performance. The purpose of this study is to find effective methods to evaluate performance in knowledge-based companies.
Starting Page	755
Ending Page	759
File Size	108710
Page Count	5
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593016
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Companies Knowledge based systems Artificial neural networks Neurons Business Training Biological system modeling Knowledge-based companies Performance Assessment BP Neural Networks
Content Type	Text
Resource Type	Article

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