| 书目名称 | New Hybrid Intelligent Systems for Diagnosis and Risk Evaluation of Arterial Hypertension |
| 编辑 | Patricia Melin,German Prado-Arechiga |
| 视频video | |
| 概述 | Presents a new approach for diagnosis and risk evaluation of arterial hypertension.Demonstrates the implementation of the approach as a hybrid intelligent system combining modular neural networks and |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2018 |
| 关键词 | Computational Intelligence; Intelligent Systems; Diagnosis of Arterial Hypertension; Risk Evaluation of |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-61149-5 |
| isbn_softcover | 978-3-319-61148-8 |
| isbn_ebook | 978-3-319-61149-5Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2018 |
发表于 2025-3-21 16:44:36
