An Application of Nonlinear Partial Least Square in Catalyst Activity Modeling

A non parametric model of catalyst activity in the device of vinylacetate has been developed using nonlinear partial least square regression based on neural networks. Because of combining the merits of statistical regression and neural networks, the model has high accuracy and generosity. Practical application also proved its effectiveness.