COMPUTATION IMPROVEMENT OF STOCKMARKET DECISION MAKING MODEL THROUGHTHE APPLICATION OF GRID

Abstract

The paper is focused on the presentation of decision - making model for stock markets. As well paper introduces grid computation idea and discusses the possibilities of grid technology application for the optimization of computational power related to the realization of the proposed model. The introduced decision - making model is based on the application of artificial intelligence tools: artificial neural networks (ANN) and particle swarmoptimization algorithm(PSO). While making computations with the proposed decision - making model the decision computation process takes quite a lot of time. Working with stock markets it is very important to make decisions fast. One of the possibilities to do that is to apply grid technologies for the distributed computing that involves coordinating and sharing computing, application, data, storage, or network resources across dynamic and geographically dispersed organizations.