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The Optimal Solution to the Development of Water Resources Influencing Factors Based on GRNN and the Genetic Algorithm Model: Case of Tianjing

机译:基于GRNN的水资源影响因素的最佳解决方法及遗传算法模型:天津案例

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According to GRNN, the paper find the network of the relationship between geographical, economic and environmental factors and its influencing factors. According to the genetic algorithm, we detect four indicators influencing mainly the ability among the 9 indicators. Our plan of intervention aims to reduce the impact of these four factors on ability to develop Water Resource in the future. Finally, according to our plan of intervention, we can get the best conditions of all indicators in the future.
机译:根据Grnn的说法,该论文找到了地理,经济和环境因素与其影响因素之间的关系网络。根据遗传算法,我们检测到9个指标,主要是9个指标中的能力。我们的干预计划旨在减少这四个因素对未来水资源开发水资源的能力的影响。最后,根据我们的干预计划,我们可以在未来获得所有指标的最佳条件。

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