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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension/ by Patricia Melin, German Prado-Arechiga.
作者:	Melin, Patricia.
其他作者:	Prado-Arechiga, German.
面頁冊數:	VIII, 88 p. 48 illus., 47 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://doi.org/10.1007/978-3-319-61149-5
ISBN:	9783319611495

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension
Melin, Patricia.

New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension[electronic resource] /by Patricia Melin, German Prado-Arechiga. - 1st ed. 2018. - VIII, 88 p. 48 illus., 47 illus. in color.online resource. - SpringerBriefs in Computational Intelligence,2625-3704. - SpringerBriefs in Computational Intelligence,.

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.

ISBN: 9783319611495

Standard No.: 10.1007/978-3-319-61149-5doiSubjects--Topical Terms:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

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