Sparse Matrix Approach in Neural Networks for Effective Medical Data Sets Classifications

In this paper, a hybrid intelligent system that consists of the sparse matrix approach incorporated in neural network learning model as a decision support tool for medical data classification is presented. The main objective of this research is to develop an effective intelligent system that can be...

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Vydané v:	Journal of Basic and Applied Research in Biomedicine Ročník 6; číslo 2
Hlavní autori:	Sagir Masanawa, Hamza Abubakar
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Journal of Basic and Applied Research in Biomedicine 25.01.2022
Predmet:	Fuzzy logic, Hybrid Learning Algorithm, Adaptive neuro fuzzy Inference system Feed forward Neural network
ISSN:	2710-1479
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