Forecasting and precision on using multi-layer neural network

Forecasting and extrapolation for time dependent phenomena by using Multi layer neural network has been studied. We calculated values of a function at short intervals, and made one dimensional vector whose elements were a partial gather of the values. If there is anything same as the future of the functions exists in the fragment set, it is possible for us to have an advanced precision extrapolation. Otherwise, if the approximate function of the primitive function can be constructed by teaming the short interval in the network, the precision of extrapolation also can be well realized.