Learning Functions and Classes Using Rules
In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution. The method does not depend on any prior knowledge...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | AI |
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| Online Access: | https://www.mdpi.com/2673-2688/3/3/44 |
| _version_ | 1827664301176913920 |
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| author | Ioannis G. Tsoulos |
| author_facet | Ioannis G. Tsoulos |
| author_sort | Ioannis G. Tsoulos |
| collection | DOAJ |
| description | In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution. The method does not depend on any prior knowledge of the dataset; the memory it requires for its execution is constant regardless of the objective problem, and it can be used to detect any hidden dependencies between the features of the input problem as well. The proposed method was tested on a extensive range of problems from the relevant literature, and comparative results against other machine learning techniques are presented in this manuscript. |
| first_indexed | 2024-03-10T00:58:11Z |
| format | Article |
| id | doaj.art-e643323b4560402a8d484d4d19bcff08 |
| institution | Directory Open Access Journal |
| issn | 2673-2688 |
| language | English |
| last_indexed | 2024-03-10T00:58:11Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | AI |
| spelling | doaj.art-e643323b4560402a8d484d4d19bcff082023-11-23T14:39:51ZengMDPI AGAI2673-26882022-09-013375176310.3390/ai3030044Learning Functions and Classes Using RulesIoannis G. Tsoulos0Department of Informatics and Telecommunications, University of Ioannina, 47100 Arta, GreeceIn the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution. The method does not depend on any prior knowledge of the dataset; the memory it requires for its execution is constant regardless of the objective problem, and it can be used to detect any hidden dependencies between the features of the input problem as well. The proposed method was tested on a extensive range of problems from the relevant literature, and comparative results against other machine learning techniques are presented in this manuscript.https://www.mdpi.com/2673-2688/3/3/44grammatical evolutiongenetic algorithmsneural networks |
| spellingShingle | Ioannis G. Tsoulos Learning Functions and Classes Using Rules AI grammatical evolution genetic algorithms neural networks |
| title | Learning Functions and Classes Using Rules |
| title_full | Learning Functions and Classes Using Rules |
| title_fullStr | Learning Functions and Classes Using Rules |
| title_full_unstemmed | Learning Functions and Classes Using Rules |
| title_short | Learning Functions and Classes Using Rules |
| title_sort | learning functions and classes using rules |
| topic | grammatical evolution genetic algorithms neural networks |
| url | https://www.mdpi.com/2673-2688/3/3/44 |
| work_keys_str_mv | AT ioannisgtsoulos learningfunctionsandclassesusingrules |