How to establish the neural network modes of ethylene plant based on genetic algorithms is introduced;first of all,the artificial neural network model structure has been designed according to the nonlinear degree between ethylene plant iostances and optimized any longer the network model parameters by use of Genetic Algorithms.

How to establish the nonlinear model structure of the artificial neural network in ethylene plant and how to optimize the model parameters by use of Genetic Algorithms are introduced.

The NFS has successful application in ethylene plant modeling problem.

Risk analysis of chloroethylene reaction devices;

Setting of superheated extent of refrigerant vapor and its influence on system design in ethylene plants;

Application of ternary refrigeration to ethylene plant;

Treatment of waste alkali liquor in ethylene unit by atmospheric oxidation process;

Design and operation of primary fractionation system in ethylene unit;

Water quality optimization of process water system in ethylene unit;

The results showed that the storability of loquat fruit was closely related to the changes of postharvest membrane permeability, respiration rate, and ethylene production.