New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension / by Patricia Melin, German Prado-Arechiga.
By: Melin, Patricia, autor
Contributor(s): Prado-Arechiga, German, autor
Material type:
E-bookSeries: (SpringerBriefs in Computational Intelligence, 2625-3704); (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing, 2018Description: 1 recurso en línea (VIII, 88 páginas 48 ilustraciones, 47 ilustraciones a color).ISBN: 9783319611495.Subject: Hipertensión
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias de la Salud | RC685.H8 M455 2018 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.15112440 |
From the Content: Introduction -- Fuzzy Logic for Arterial Hypertension Classification -- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
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.
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