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Volume 13 Number 2 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/737

Title: Neural Network Based Approach for Developing the Enterprise Strategy
Authors: Kovacheva, Todorka
Toshkova, Daniela
Keywords: Enterprise Strategy
Model Predictive Control
Neural Network
Black-Box Modeling
Business Trends
Issue Date: 2006
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: Modern enterprises work in highly dynamic environment. Thus, the developing of company strategy is of crucial importance. It determines the surviving of the enterprise and its evolution. Adapting the desired management goal in accordance with the environment changes is a complex problem. In the present paper, an approach for solving this problem is suggested. It is based on predictive control philosophy. The enterprise is modelled as a cybernetic system and the future plant response is predicted by a neural network model. The predictions are passed to an optimization routine, which attempts to minimize the quadratic performance criterion.
URI: http://hdl.handle.net/10525/737
ISSN: 1313-0463
Appears in Collections:Volume 13 Number 2

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