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.

Keywords: enterprise strategy, model predictive control, neural network, black-box modeling, business trends.

ACM Classification Keywords: I.2.6 Artificial Intelligence: Neural nets; I.6.3 Simulation and Modeling: Applications

Link:

NEURAL NETWORK BASED APPROACH FOR DEVELOPING THE ENTERPRISE STRATEGY

Todorka Kovacheva, Daniela Toshkova

http://www.foibg.com/ijita/vol13/ijita13-2-p06.pdf