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机构地区:[1]浙江海洋学院数理与信息学院,舟山316004 [2]浙江海洋学院食品与药学学院,舟山316004
出 处:《农业工程学报》2008年第S2期246-249,共4页Transactions of the Chinese Society of Agricultural Engineering
基 金:国家自然科学基金资助项目(60373078);浙江省科技厅面上项目(2008C32036)
摘 要:通过对中国林蛙(Rana chensinensis)病害的调查研究,针对其疾病种类多、各种疾病症状上难以区分的问题,研究基于概念格的智能诊断方法,对中国林蛙常见疾病进行分类,对疾病诊断属性进行约简,提取出疾病诊断的最有效属性,得到最有效的诊断症状。这种新的诊断方法比传统的更加简单、快捷,在诊断试验中的灵敏度达到0.86,特异度达到0.9,取得良好效果。An investigation and research revealed that the kinds of Chinese forest frog diseases(Rana chensinensis)are diverse and their symptoms are hard to distinguish.An effective intelligent method based on concept lattice was developed for the classification of the diseases of Chinese forest frog and the attribute reduction of disease diagnosis,so that the most effective attributes and symptoms for diagnosis were obtained.This new method of disease diagnosis proved to be more convenient and simpler in operation than traditional ones.When applied in practice,it could obtain a good result that the sensitivity is 0.86 and the specificity is 0.9.
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