Using complementarity of remote sensing information and ground monitoring information on water quality, a data fusion method based on neural network and evidence theory is proposed.
利用水质遥感监测信息和地面监测信息的互补性，提出一种基于神经网络一证据理论的数据融合处理方法。
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This paper analyses the resonance circuit by general analysis methods and modern circuit theory, and gives the difference between the two methods and conclude the complementarity between them.
In convex programming theory, a constrained optimization problem, by KT conditions, is usually converted into a mixed nonlinear complementarity problem.