High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning
The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference when solving multicriteria problems connected with analysis of expert (foresight) data to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative de...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2018-01-01
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| Series: | MATEC Web of Conferences |
| Online Access: | https://doi.org/10.1051/matecconf/201815501037 |
| _version_ | 1818918421080834048 |
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| author | Gorbachev Sergey Syryamkin Vladimir |
| author_facet | Gorbachev Sergey Syryamkin Vladimir |
| author_sort | Gorbachev Sergey |
| collection | DOAJ |
| description | The article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference when solving multicriteria problems connected with analysis of expert (foresight) data to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative development. The article describes the optimized structuralfunctional scheme of the high-performance adaptive neuro-fuzzy classifier with a logical output, which has such specific features as a block of decision tree-based fuzzy rules and a hybrid algorithm for neural network adaptation of parameters based on the error back-propagation to the root of the decision tree. |
| first_indexed | 2024-12-20T00:49:41Z |
| format | Article |
| id | doaj.art-4477f1d9e43e4b86be1226d2d42f2d83 |
| institution | Directory Open Access Journal |
| issn | 2261-236X |
| language | English |
| last_indexed | 2024-12-20T00:49:41Z |
| publishDate | 2018-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | MATEC Web of Conferences |
| spelling | doaj.art-4477f1d9e43e4b86be1226d2d42f2d832022-12-21T19:59:17ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011550103710.1051/matecconf/201815501037matecconf_imet2018_01037High-Performance Adaptive Neurofuzzy Classifier with a Parametric TuningGorbachev SergeySyryamkin VladimirThe article is devoted to research and development of adaptive algorithms for neuro-fuzzy inference when solving multicriteria problems connected with analysis of expert (foresight) data to identify technological breakthroughs and strategic perspectives of scientific, technological and innovative development. The article describes the optimized structuralfunctional scheme of the high-performance adaptive neuro-fuzzy classifier with a logical output, which has such specific features as a block of decision tree-based fuzzy rules and a hybrid algorithm for neural network adaptation of parameters based on the error back-propagation to the root of the decision tree.https://doi.org/10.1051/matecconf/201815501037 |
| spellingShingle | Gorbachev Sergey Syryamkin Vladimir High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning MATEC Web of Conferences |
| title | High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning |
| title_full | High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning |
| title_fullStr | High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning |
| title_full_unstemmed | High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning |
| title_short | High-Performance Adaptive Neurofuzzy Classifier with a Parametric Tuning |
| title_sort | high performance adaptive neurofuzzy classifier with a parametric tuning |
| url | https://doi.org/10.1051/matecconf/201815501037 |
| work_keys_str_mv | AT gorbachevsergey highperformanceadaptiveneurofuzzyclassifierwithaparametrictuning AT syryamkinvladimir highperformanceadaptiveneurofuzzyclassifierwithaparametrictuning |