Abstract
The effective and practical performance evaluation method that can show the operational situation of the enterprises scientifically and objectively is in a great need. The paper puts forward a three-level enterprise integrated performance evaluation system combining theoretical study with empirical analysis in research because the traditional financial accounting- based performance measurement method is out of step and lagged. Then BP neural network model is applied to the performance evaluation of enterprises by building an evaluating model which avoids the uncertainty in estimating the weights subjectively on the basis of introducing the methods and steps of the model. Finally the empirical analysis result indicates the scientific nature and practicability of the proposed model.
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© 2011 Springer-Verlag Berlin Heidelberg
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Feng, L., Zhiwen, Z. (2011). Enterprise Performance Evaluation Based on BP Neural Networks. In: Dai, M. (eds) Innovative Computing and Information. ICCIC 2011. Communications in Computer and Information Science, vol 232. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23998-4_16
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DOI: https://doi.org/10.1007/978-3-642-23998-4_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23997-7
Online ISBN: 978-3-642-23998-4
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