A novel neuro-fuzzy method for linguistic feature selection and rule-based classification
This paper proposes a new interpretable neuro-fuzzy classification mechanism. The proposed neuro-fuzzy structure is different from other data analysis mechanisms previously invented in pattern recognition. General mechanisms focus mainly on creating predictive data models whereas some useful informa...
محفوظ في:
المؤلفون الرئيسيون: | Narissara Eiamkanitchat, Nipon Theera-Umpon, Sansanee Auephanwiriyakul |
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التنسيق: | وقائع المؤتمر |
منشور في: |
2018
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الموضوعات: | |
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=77952591044&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50729 |
الوسوم: |
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مواد مشابهة
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A novel neuro-fuzzy method for linguistic feature selection and rule-based classification
بواسطة: Eiamkanitchat N., وآخرون
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On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification
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On Feature Selection and Rule Extraction for High Dimensional Data: A Case of Diffuse Large B-Cell Lymphomas Microarrays Classification
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