A Medical Image Classification Model based on Quantum-Inspired Genetic Algorithm
This study used a Quantum-Inspired Genetic Algorithm (QIGA) to select the proper functionality and reduce the dimensions, classification time, and computational cost of a learning dataset. QIGA reduces the complexity of solutions and improves the selection of the best features. The application of qu...
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Veröffentlicht in: | Engineering, technology & applied science research technology & applied science research, 2024-10, Vol.14 (5), p.16692-16700 |
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Hauptverfasser: | , , , , , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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