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

di Patricia Melin (Autore)

German Prado-Arechiga (Autore)

Springer International Publishing AG, 2017

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.

• Autore: Patricia Melin, German Prado-Arechiga
• Editore: Springer International Publishing AG
• Collana: SpringerBriefs in Applied Sciences and Technology
• Anno: 2017
• Rilegatura: Paperback / softback
• Pagine: 88 p.
• Dimensioni: 235 x 155 mm
• EAN: 9783319611488

Testo in English