Design of an Optimized Fuzzy Classifier for the Diagnosis of Blood Pressure with a New Computational Method for Expert Rule Optimization

Design of an Optimized Fuzzy Classifier for the Diagnosis of Blood Pressure with a New Computational Method for Expert Rule Optimization

A neuro fuzzy hybrid model (NFHM) is proposed as a new artificial intelligence method to classify blood pressure (BP). The NFHM uses techniques such as neural networks, fuzzy logic and evolutionary computation, and in the last case genetic algorithms (GAs) are used. The main goal is to model the beh...

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Bibliographic Details
Main Authors: Juan Carlos Guzman, Patricia Melin, German Prado-Arechiga
Format: Article
Language:English
Published: MDPI AG 2017-07-01
Series:Algorithms
Subjects:
neural networks
genetic algorithms
fuzzy logic
blood pressure
Online Access:https://www.mdpi.com/1999-4893/10/3/79

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