Prediction Model Based On Neural Computing Platform In Grid Design And Realization

ANN(artificial nerve network) is the simulation of biologic nerve system. ANN is a kind of network, in which a quantity of calculation cells(nerve cells) joint each other. Although ANN can't really reflect man's cerebral function, it is able to be an abstraction, simplification and simulation of the biologic nerve system, and it occupies a dominant position in economic prediction field.Error Back Propagation Network is one kind of ANN and it's widely used in economics prediction. Since many users are pressed for necessary information of ANN or even the basic skill of programming, we designed and realized this ANN Model. Our ANN Model runs on a Neuron Computing Platform witch is based on Grid technology, and it has powerful computing ability, also, it allows users to design their own ANN Prediction Model conveniently to match their specified needs.We also supplied three typical economics models based on our ANN Model to prove its validity, which also give reference for our users to make use of our model better. The first one, GDP Prediction Model, is a typical economics prediction model, and it shows the advantages of ANN prediction and tell users the normal way to use our model; The second one, Stock Price Prediction Model, is a more complicated and compositive model which show a expended way to use our model; the last one, Organizational Networking Evaluation Model, shows that our model can used in many fields except for predication, it can be used to settle many problems only if our users can understand it and use it well.