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The model of crop response to water describes the quantitative relationship between crop yield and water input, and is essential for the rational regulation of field water regime and the improvement of water use efficiency. A multi-layer feed-forward neural network (MFNN) was used to simulate the crop response to water for winter wheat in Xiaohe irrigation district in North China. The MFNN was trained...
Support Vector Machines (SVM) have several tuning parameters such as the kernel function type. This work proposes to develop an algorithm to calibrate the SVM automatically for detecting disease outbreaks based on Telehealth data. Two sets of simulated data are generated based on real Telehealth calls and an outbreak profile. The Telehealth data is related to respiratory disease syndrome. The outbreak...
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