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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

Patricia Melin; German Prado-Arechiga

978-3-319-61149-5

2018
Edition 1
- Presents a new approach for diagnosis and risk evaluation of arterial hypertension
- Demonstrates the implementation of the approach as a hybrid intelligent system combining modular neural networks and fuzzy systems
- Two genetic algorithms are used to perform the optimization of the modular neural networks parameters and fuzzy inference system parameters
- The experimental results obtained using the proposed method on real patient data show that when the optimization is used, the results can be better than without optimization
- Includes supplementary material: sn.pub/extras
€100 €90
10% OFF

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