|
![]() |
|||
|
||||
OverviewIn 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. Full Product DetailsAuthor: Patricia Melin , German Prado-ArechigaPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2018 Weight: 1.591kg ISBN: 9783319611488ISBN 10: 3319611488 Pages: 88 Publication Date: 12 July 2017 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsFrom the Content: Introduction.- Fuzzy Logic for Arterial Hypertension Classification.- Design of a Neuro Design of a Neuro Design of Arterial Hypertension.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |