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

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Éditeur :

Springer


Collection :

SpringerBriefs in Applied Sciences and Technology

Paru le : 2017-07-04

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Description
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.
Pages
88 pages
Collection
SpringerBriefs in Applied Sciences and Technology
Parution
2017-07-04
Marque
Springer
EAN papier
9783319611488
EAN PDF
9783319611495

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
3820 Ko
Prix
52,74 €
EAN EPUB
9783319611495

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
8
Taille du fichier
2294 Ko
Prix
52,74 €