Melin / Prado-Arechiga New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension

1. Auflage 2018
ISBN: 978-3-319-61149-5
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 88 Seiten, eBook

Reihe: SpringerBriefs in Computational Intelligence

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.

Zielgruppe

Research

Autoren/Hrsg.

Melin, Patricia

Prado-Arechiga, German

Inhaltsverzeichnis

From the Content: Introduction.- Fuzzy Logic for Arterial Hypertension Classification.- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.