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The Environmental Quality Evaluation of Qinhuangdao Port Regional Based on Fuzzy BP Neural Network and PSO

机译:基于模糊BP神经网络和PSO的秦皇岛港区环境质量评价

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A fuzzy BP neural network model based on particle swarm optimization (PSO)is proposed in this paper. The basic idea of this model is: Firstly, the relative membership degrees of fuzzy mathematics are used for deal with the input sample, and then use the algorithm optimizing. Secondly PSO is used to optimize the BP neural network's initialized weights, an optimized result is got. Then based on the optimized result, the BP neural network is used for further optimization and we give a practice. We can use this model for the environmental quality evaluation of Qinhuangdao Port regional. Finally we can get exactly appraise, this can be direct the environmental protection.
机译:本文提出了一种基于粒子群优化(PSO)的模糊BP神经网络模型。该模型的基本思想是:首先,模糊数学的相对隶属度数用于处理输入样本,然后使用算法优化。其次,PSO用于优化BP神经网络的初始化权重,得到了优化的结果。然后基于优化结果,BP神经网络用于进一步优化,我们给出练习。我们可以使用该模型为秦皇岛港区环境质量评估。最后,我们可以完全评价,这可以是指导环保。

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