關鍵字查詢 | 類別:期刊論文 | | 關鍵字:Generating diagnositc rules directly from experimental data

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1 86/1 電機系 蘇木春 教授 期刊論文 發佈 Generating diagnositc rules directly from experimental data , [86-1] :Generating diagnositc rules directly from experimental data期刊論文Generating diagnositc rules directly from experimental dataSu, Mu-chun;Hsieh, Ching-tang;Chin, Chieh-ching淡江大學電機工程學系Neural networks;Fuzzy systems;Computer-aided expert systems;Medical diagnosisSingapore: World Scientific Publishing Co. Pte. Ltd.Biomedical Engineering: Applications, Basis and Communications 9(6), pp.9-14Traditionally, a major task in building a medical diagnosis expert system is the process of acquiring the required knowledge in the form of production rules. alternative knowledge acquisition approaches to articulating knowledge required for diagnostic tasks are presented in this paper. Each approach has its own advantages and disadvantages. The ultimate goal of these approaches is to free human experts from tedious diagnosis loads. The effectiveness of these approaches is demonstrated by an example of a hypothesis regarding the pathophysiology of diabetes.20130515-補正完成 by 張瑜庭;tku_id: 000095024;Ma
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