New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension / SpringerBriefs in Applied Sciences and Technology (PDF)
(Sprache: Englisch)
In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the...
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Produktinformationen zu „New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension / SpringerBriefs in Applied Sciences and Technology (PDF)“
In this book, a new approach for diagnosis and risk evaluation of ar-terial hypertension is introduced. The new approach was implement-ed as a hybrid intelligent system combining modular neural net-works and fuzzy systems. The different responses of the hybrid system are combined using fuzzy logic. Finally, two genetic algo-rithms 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 pa-tient data show that when the optimization is used, the results can be better than without optimization. This book is intended to be a refer-ence for scientists and physicians interested in applying soft compu-ting techniques, such as neural networks, fuzzy logic and genetic algorithms, in medical diagnosis, but also in general to classification and pattern recognition and similar problems.
Bibliographische Angaben
- Autoren: Patricia Melin , German Prado-Arechiga
- 2017, 1st ed. 2018, 88 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 3319611496
- ISBN-13: 9783319611495
- Erscheinungsdatum: 04.07.2017
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- Größe: 3.73 MB
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Englisch
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