Performance Evaluation Model of Park Based on Intelligent Algorithm
Abstract: Evaluation system of
industrial park is a complex problem concerning multiple levels and multiple objectives
and multiple evaluation indexes. Use all the evaluation indexes as input of
neural network will result in complex structure of neural network affecting
performance of quality evaluation stem of park. Propose a park performance
evaluation method integrating intelligence algorithm and neural network. First,
adopt analytic hierarchy process to sort evaluation index bodies in accordance
with importance, and then screen out indexes with important effect on
evaluation result as BP neural network input. Finally, adopt neural network to
establish evaluation model. Take performance assessment of a logistics
industrial park as example to conduct simulation experiment, which shows park
performance evaluation method based on integrated intelligent algorithm and
neural network not only simplifies structure of neural network but also improve
accuracy and evaluation efficiency of performance and quality evaluation to be
a feasible and effective method of performance evaluation.
Keywords: Performance
evaluation; Industrial park; Index system; Intelligent algorithm; BP neural
network
Author: Yang Yaliu, Zheng
Xiaowei
Journal Code: jptkomputergg160109
