In order to optimize the operating conditions in dead-end microfiltration

a predicting model relating the specific resistance to the operating conditions based on the BP neural network was firstly developed in this paper

in which the experimental data of an orthonormal design table (5) were used as the input sample data.Then

by using the average relative absolute error of the testing sample as the criterion

a comparison experiment of the predicting for specific resistance of yeast suspensions by using the BP neural network method and the multiple linear regression method had been made.Finally

the predicting precisions of two models had been given.The results showed that the BP neural network method was better than the multiple linear regression method and the average relative absolute errors were 3.55％ and 5.16％ for the BP neural network method and the multiple linear regression method

respectively.