Abstract
How to effectively anticipate the correct future trends of the foreign investment are the most important job and critical issue for the economic development. With data warehouse and neural network, the development states of foreign investment are predicted in foreign investment management decision support system. The paper illustrates the architecture and implementation of decision support system oriented to foreign capital, moreover, the method which multidimensional data-mining based on neural network is applied in data warehouse is presented. The experimental result shows that the method can be used to analysis and decision of foreign investment information
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© 2009 Springer-Verlag Berlin Heidelberg
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Guo, S., Feng, S., Zhao, Y., Zhou, K. (2009). Using Neural Networks for the Foreign Investment Management Decision Support System. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_120
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DOI: https://doi.org/10.1007/978-3-642-01507-6_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01506-9
Online ISBN: 978-3-642-01507-6
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