  Neural networks are becoming an increasingly important tool in applications.
However, neural networks are not widely used in statistical genetics. In this
paper, we propose a new neural networks method called expectile neural
networks. When the size of parameter is too large, the standard maximum
likelihood procedures may not work. We use sieve method to constrain parameter
space. And we prove its consistency and normality under nonparametric
regression framework.
