基于高斯云分布和样本信息丰富度的创新方法,用于不确定条件下的长江湖库富营养化评估。

Nan Zang, Guozhi Cao, Yanxue Xu, Yu Feng, Zesheng Xu, Xiafei Zhou, Yunjie Liao
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本文章由计算机程序翻译,如有差异,请以英文原文为准。

An innovative method based on Gaussian cloud distribution and sample information richness for eutrophication assessment of Yangtze's lakes and reservoirs under uncertainty.

An innovative method based on Gaussian cloud distribution and sample information richness for eutrophication assessment of Yangtze's lakes and reservoirs under uncertainty.
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