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基于改进 BP 神经网络的沿海城市生态文明发展水平评价算法。

Evaluation algorithm of coastal city ecological civilization development level based on improved BP neural network.

机构信息

School of Law, Lanzhou University, Lanzhou, 730000, China.

出版信息

J Environ Manage. 2022 Nov 1;321:116039. doi: 10.1016/j.jenvman.2022.116039. Epub 2022 Aug 24.

Abstract

To accurately evaluate the development level of ecological civilization in coastal cities, this paper proposes an evaluation algorithm of coastal city ecological civilization development based on Improved BP neural network, constructs the evaluation index system, and establishes the BP neural network-based evaluation model. By collecting the relevant data of 30 cities in China Line standardization, as the input learning matrix, entropy and coefficient of variation are used to evaluate the development level of ecological civilization. Through 5000 training times, the error accuracy is close to 10-7, and the cities with low ecological civilization level and less cultivated land resources per capita are found out. Based on the improved BP neural network method, according to the development level of coastal cities, the ecological culture of coastal cities is put forward as a whole. The countermeasures and suggestions of construction are given.

摘要

为了准确评价沿海城市生态文明发展水平,本文提出了一种基于改进 BP 神经网络的沿海城市生态文明发展评价算法,构建了评价指标体系,建立了基于 BP 神经网络的评价模型。通过收集中国沿海 30 个城市的相关数据进行标准化处理,作为输入学习矩阵,利用熵值法和变异系数法对生态文明发展水平进行评价。通过 5000 次的训练,误差精度接近 10-7,找出了生态文明水平较低、人均耕地资源较少的城市。基于改进的 BP 神经网络方法,根据沿海城市的发展水平,提出了沿海城市生态文化建设的总体对策建议。

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