A deep learning based neuro-fuzzy approach for solving classification problems
Techniques involved artificial intelligence and machine learning offers various classification methods in order to deal with daily life problems. Among these methods, Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Deep Neural Network (DNN) are the most commonly used classifiers. Since ANFIS is n...
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Institute of Electrical and Electronics Engineers Inc.
2020
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my.utp.eprints.298762022-03-25T03:05:12Z A deep learning based neuro-fuzzy approach for solving classification problems Talpur, N. Abdulkadir, S.J. Hasan, M.H. Techniques involved artificial intelligence and machine learning offers various classification methods in order to deal with daily life problems. Among these methods, Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Deep Neural Network (DNN) are the most commonly used classifiers. Since ANFIS is not suitable for high-dimensional data, therefore DNN was introduced to overcome this problem faced by conventional methods. However, due to the optimization of millions of parameters in their deep architecture, the decision made by DNN faced the criticism of being non-transparent. To overcome this problem, recently, various researchers are coming up with the idea of using fuzzy logic with DNN. Therefore, this study also proposed a Deep Neuro-Fuzzy Classifier (DNFC) with a cooperative based structure for solving classification problems, particularly. The performance of the proposed DNFC was evaluated with ANFIS and DNN classifier, where overall results show that the performance of ANFIS classifier decreased when input size increased. While the performance of the proposed model demonstrated nearly similar or slightly higher accuracy as compared to DNN. © 2020 IEEE. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097567980&doi=10.1109%2fICCI51257.2020.9247639&partnerID=40&md5=e789247d0e8c1c0da02ec37a185a5ca0 Talpur, N. and Abdulkadir, S.J. and Hasan, M.H. (2020) A deep learning based neuro-fuzzy approach for solving classification problems. In: UNSPECIFIED. http://eprints.utp.edu.my/29876/ |
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Techniques involved artificial intelligence and machine learning offers various classification methods in order to deal with daily life problems. Among these methods, Adaptive Neuro-Fuzzy Inference Systems (ANFIS) and Deep Neural Network (DNN) are the most commonly used classifiers. Since ANFIS is not suitable for high-dimensional data, therefore DNN was introduced to overcome this problem faced by conventional methods. However, due to the optimization of millions of parameters in their deep architecture, the decision made by DNN faced the criticism of being non-transparent. To overcome this problem, recently, various researchers are coming up with the idea of using fuzzy logic with DNN. Therefore, this study also proposed a Deep Neuro-Fuzzy Classifier (DNFC) with a cooperative based structure for solving classification problems, particularly. The performance of the proposed DNFC was evaluated with ANFIS and DNN classifier, where overall results show that the performance of ANFIS classifier decreased when input size increased. While the performance of the proposed model demonstrated nearly similar or slightly higher accuracy as compared to DNN. © 2020 IEEE. |
| format |
Conference or Workshop Item |
| author |
Talpur, N. Abdulkadir, S.J. Hasan, M.H. |
| spellingShingle |
Talpur, N. Abdulkadir, S.J. Hasan, M.H. A deep learning based neuro-fuzzy approach for solving classification problems |
| author_facet |
Talpur, N. Abdulkadir, S.J. Hasan, M.H. |
| author_sort |
Talpur, N. |
| title |
A deep learning based neuro-fuzzy approach for solving classification problems |
| title_short |
A deep learning based neuro-fuzzy approach for solving classification problems |
| title_full |
A deep learning based neuro-fuzzy approach for solving classification problems |
| title_fullStr |
A deep learning based neuro-fuzzy approach for solving classification problems |
| title_full_unstemmed |
A deep learning based neuro-fuzzy approach for solving classification problems |
| title_sort |
deep learning based neuro-fuzzy approach for solving classification problems |
| publisher |
Institute of Electrical and Electronics Engineers Inc. |
| publishDate |
2020 |
| url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097567980&doi=10.1109%2fICCI51257.2020.9247639&partnerID=40&md5=e789247d0e8c1c0da02ec37a185a5ca0 http://eprints.utp.edu.my/29876/ |
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13.211869 |