New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension - SpringerBriefs in Computational Intelligence (Paperback)
  • New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension - SpringerBriefs in Computational Intelligence (Paperback)
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New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension - SpringerBriefs in Computational Intelligence (Paperback)

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£59.99
Paperback 88 Pages / Published: 12/07/2017
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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.

Publisher: Springer International Publishing AG
ISBN: 9783319611488
Number of pages: 88
Weight: 218 g
Dimensions: 235 x 155 mm
Edition: 1st ed. 2018

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