Educational Devotion to Economy Emulation Model Based on Neural Network

The paper according to the sampling inspection result of Jiangsu province educational devotion data from 1993 to 2010 and neural network simulation, we gain that the intervals of the proportion between government education investment and citizen education investment, between independency neural network of gross region product with undergraduate junior and elementary school of eleven-plus, and between independency neural network of investment capital asserts and manpower, the interference referee model for economic system is foundation. The data go through the processes of normalization, index cluster and entropy method so as to match the real situation. Eventually conformity three independency subsystems constitute perfectly economy system neural network. Simulation shows increasing educational investment is a must if our present and future development is to be taken into consideration.