Fuzzy Neural Network Applications on Estimating the Contribution of Different Education Levels on Human Capital of China

A new method of Fuzzy neural network to estimate the contribution of different education level on human capital has been proposed in this article. By using fuzzy neural network mapping, this article has estimated the contribution of education on human capital at four levels (illiteracy & primary, junior, senior and higher) in three regions of China with different science and technology level. It is possible to conclude that the contribution of education in these three regions is remarkably different. Education itself does not necessarily have positive impact on actual human capital. Illiteracy & primary may have negative impacts in certain regions. Meanwhile, non-educational factors have significant positive impacts on human capital.