The application of push-down accounting in independent financial statement in emerged enterprises can simplify the compiling of the statement and help information users to understand it.

In order to overcome the difficulties induced by the nonlinearity, time-variation and indeterminacy of polymerization process, a manifold series-parallel hybrid model for inference estimation was presented, which was based on process mechanism knowledge and the results obtained from neural networks models and regression models.