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Research on comprehensive carrying capacity assessment method with data-driven neural network

机译:数据驱动神经网络综合携带能力评估方法研究

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With the development of the exploitation in Tianjin coastal District, study on carrying capacity and its dynamic changes are the key methods for improving the scientific management level and for realizing sustainable development. This paper presents a data-driven neural network method to establish comprehensive carrying capacity assessment model by the nonlinear relationship between impact factors and level of carrying capacity. The calibration results work well in Tianjin Binhai District.
机译:随着天津沿海地区开采的发展,携带能力研究及其动态变化是改善科学管理水平和实现可持续发展的关键方法。本文介绍了一种数据驱动的神经网络方法,通过影响因素与承载力水平之间的非线性关系来建立全面的携带能力评估模型。校准结果在天津滨海区工作良好。

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