New Hybrid Intelligent Systems For Diagnosis And Risk Evaluation Of Arterial Hypertension (springerbriefs In Applied Sciences And Technology)
by Patricia Melin /
2017 / English / PDF
3.7 MB Download
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.
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.
