Hybrid PSO-RBFNN and Proposed Algorithms of DDDWT for the Heart Disease Classification
This paper introduced a Particle Swarm Optimization-Radial Basis Function Neural Networks (PSO-RBFNN)-based system for heart disease detection that used the PSO algorithm to optimize RBFNN parameters. The newly developed signal digital algorithm presents the results of a new image contrast enhanceme...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Unviversity of Technology- Iraq
2021-04-01
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| Серии: | Engineering and Technology Journal |
| Предметы: | |
| Online-ссылка: | https://etj.uotechnology.edu.iq/article_168131_92cedf3442b42626ae669e6037eaeb1c.pdf |
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