| Title:
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NEW HYBRID INTELLIGENT SYSTEMS FOR DIAGNOSIS AND RISK EVALUATION OF ARTERIAL HYPERTENSION
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| By: |
Patricia Melin, German Prado-Arechiga |
| Format: |
Paperback |
| List price:
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£44.99 |
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£39.37 |
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£5.62 |
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| ISBN 10: |
3319611488 |
| ISBN 13: |
9783319611488 |
| Availability: |
Usually dispatched within 1-3 weeks.
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| Stock: |
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| Publisher: |
SPRINGER INTERNATIONAL PUBLISHING AG |
| Pub. date: |
12 July, 2017 |
| Edition: |
1st ed. 2018 |
| Series: |
SpringerBriefs in Applied Sciences and Technology |
| Pages: |
88 |
| Synopsis: |
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. |
| Illustrations: |
47 Illustrations, color; 1 Illustrations, black and white; VIII, 88 p. 48 |
| Publication: |
Switzerland |
| Imprint: |
Springer International Publishing AG |
| Returns: |
Returnable |