An evaluation model of water resources social renewable capacity is developed based on artificial neural network.
利用人工神经网络的方法，建立城市水资源社会再生能力评价模型。
The evaluation model which will have wide application prospect and major social and economic benefits integrates knowledge including information, mathematics and mechanics and so on.
该评价模式融入了信息、数学和力学等多方面知识，它将具有广泛的工程应用前景，及重大的社会效益和经济效益。
This evaluation established new rural green space plant landscape evaluation model, including aesthetic, eco-efficiency, social benefit as criteria layers and 12 evaluation factors.
本次评价建立的新农村绿地植物景观评价模型，包括美学效益、生态效益和社会效益3个准则层、12个评价因子。
The main conclusions of the article is: the multilayer fuzzy comprehensive appraisal model is feasible and scientific in the social evaluation projects.
层次分析法和模糊综合评判理论的结合可以很好地解决地质调查项目社会评价系统的“递阶层次性”和难以量化的“模糊性”问题。
The main conclusions of the article is: the multilayer fuzzy comprehensive appraisal model is feasible and scientific in the social evaluation projects.
层次分析法和模糊综合评判理论的结合可以很好地解决地质调查项目社会评价系统的“递阶层次性”和难以量化的“模糊性”问题。
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