Forecasting algorithm developed from the neuro - Fuzzy system
© Copyright 2015 ACM. Forecasting is the process to estimate the future by analysis the past and present information. In data analysis the accurate forecast results are usually based on the reliable classification algorithm. This paper proposes the new Neuro-Fuzzy algorithm combined with the quadrat...
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th-cmuir.6653943832-441922018-04-25T07:46:48Z Forecasting algorithm developed from the neuro - Fuzzy system Phichit Napook Narissara Eiamkanitcaht Agricultural and Biological Sciences © Copyright 2015 ACM. Forecasting is the process to estimate the future by analysis the past and present information. In data analysis the accurate forecast results are usually based on the reliable classification algorithm. This paper proposes the new Neuro-Fuzzy algorithm combined with the quadratic function. The classification performance of the propose algorithm is shown by the accuracy of 7 standard datasets from the UCI machine learning repository. The satisfactory classification accuracy is shown in the experiment. The proposed structure can classify by both direct calculation and using rule based classification. The classification structure after training process is easy to apply in any application. 2018-01-24T04:39:09Z 2018-01-24T04:39:09Z 2015-09-07 Conference Proceeding 2-s2.0-84962595972 10.1145/2800835.2800983 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962595972&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44192 |
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Agricultural and Biological Sciences Phichit Napook Narissara Eiamkanitcaht Forecasting algorithm developed from the neuro - Fuzzy system |
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© Copyright 2015 ACM. Forecasting is the process to estimate the future by analysis the past and present information. In data analysis the accurate forecast results are usually based on the reliable classification algorithm. This paper proposes the new Neuro-Fuzzy algorithm combined with the quadratic function. The classification performance of the propose algorithm is shown by the accuracy of 7 standard datasets from the UCI machine learning repository. The satisfactory classification accuracy is shown in the experiment. The proposed structure can classify by both direct calculation and using rule based classification. The classification structure after training process is easy to apply in any application. |
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Conference Proceeding |
author |
Phichit Napook Narissara Eiamkanitcaht |
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Phichit Napook Narissara Eiamkanitcaht |
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Phichit Napook |
title |
Forecasting algorithm developed from the neuro - Fuzzy system |
title_short |
Forecasting algorithm developed from the neuro - Fuzzy system |
title_full |
Forecasting algorithm developed from the neuro - Fuzzy system |
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Forecasting algorithm developed from the neuro - Fuzzy system |
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Forecasting algorithm developed from the neuro - Fuzzy system |
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forecasting algorithm developed from the neuro - fuzzy system |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84962595972&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44192 |
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