| Autor: |
Mihir Narayan Mohanty, Sateesh Kumar Pradhan, Bishnupriya Panda, Saumendra Kumar Mohapatra, Sipra Sahoo |
| Rok vydání: |
2020 |
| Předmět: |
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| Zdroj: |
Smart Innovation, Systems and Technologies ISBN: 9789811562013 |
| DOI: |
10.1007/978-981-15-6202-0_33 |
| Popis: |
Research based on biomedical data analysis is increasing day by day. Cardiac problem is one of major causes of death worldwide. Accurate classification and analysis of cardiac data is more essential to reduce the death rate. In this work, authors have classified cardiac data collected from UCI repository by using optimized model of artificial neural network (ANN). Weights are optimized using modified genetic algorithm (MGA) technique. Five different types of arrhythmia data are considered and classified. The results found about 90% accuracy. The obtained result is compared with some earlier works, and it is found that ANN-MGA is performing better. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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