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A New Sustainability Index System and Evaluation Model Based on the GA-BP Neural Network Model

机译:基于GA-BP神经网络模型的新可持续性指标体系与评估模型

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This paper aims to evaluate the sustainability of the country using mathematical methods. First we select nine indexes from natural resources, economic strength, human resources and social living environment in total to establish the index system for sustainable development and validate the completeness and independence among indexes. We randomly select ten countries as the sample data, and build an evaluation model based on the GA-BP Neural Network Model [1] which has the advantage in assigning weights objectively, and define a mathematical standard for sustainability. The evaluation results of this model is similar to the conclusion of World Bank.
机译:本文旨在利用数学方法评估该国的可持续性。首先,我们共用自然资源,经济实力,人力资源和社会生活环境中的九指标,建立可持续发展的指标体系,并验证指标之间的完整性和独立性。我们随机选择十个国家作为样本数据,并基于GA-BP神经网络模型[1]构建评估模型,其在客观地分配权重方面,并定义可持续性的数学标准。该模型的评估结果类似于世界银行的结论。

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