New hybrid intelligent systems for diagnosis and risk evaluation of arterial hypertension
Cham, Switzerland
9783319611495
Springer briefs in computational intelligence
1st ed.
Not available
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.
1 online resource (viii, 88 p.)
Not available
ill. (in color.)
From the Content: Introduction --
Fuzzy Logic for Arterial Hypertension Classification --
Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
Fuzzy Logic for Arterial Hypertension Classification --
Design of a Neuro Design of a Neuro Design of Arterial Hypertension.
| Access no. | Call number | Location | Status |
|---|---|---|---|
| 01286/20 | 620 Mel N | Online | Available |
