Comparative Analysis of Single and Hybrid Neuro-Fuzzy-Based Models for an Industrial Heating Ventilation and Air Conditioning Control System

Adaptive Neuro-Fuzzy Inference System and a Multilayer Perceptron Model Trained with Grey Wolf Optimizer for Predicting Solar Diffuse Fraction

The accurate prediction of the solar Diffuse Fraction (DF), sometimes called the Diffuse Ratio, is an important topic for solar energy research. In the present study, the current state of Diffuse Irradiance research is discussed and then three robust, Machine Learning (ML) models, are examined using a large dataset (almost 8 years) of hourly readings from Almeria, Spain. The ML models used herein, are a hybrid Adaptive Network-based Fuzzy Inference System (ANFIS), a single Multi-Layer Perceptron (MLP) and a hybrid Multi-Layer Perceptron-Grey Wolf Optimizer (MLP-GWO). These models were evaluate…

DNFS-VNE：深度神经模糊系统驱动的虚拟网络嵌入

DNFS-VNE: Deep Neuro Fuzzy System Driven Virtual Network Embedding

针对DNN驱动VNE缺乏可解释性的问题，提出DNFS-VNE，利用CNN模糊蕴含、Mamdani规则库和DRL策略网络实现可解释的虚拟网络嵌入决策。

Detection of Epileptic Seizures on EEG Signals Using ANFIS Classifier, Autoencoders and Fuzzy Entropies

Epileptic seizures are one of the most crucial neurological disorders, and their early diagnosis will help the clinicians to provide accurate treatment for the patients. The electroencephalogram (EEG) signals are widely used for epileptic seizures detection, which provides specialists with substantial information about the functioning of the brain. In this paper, a novel diagnostic procedure using fuzzy theory and deep learning techniques is introduced. The proposed method is evaluated on the Bonn University dataset with six classification combinations and also on the Freiburg dataset. The tun…

基于神经模糊系统的无创血钾水平心电图测量方法

Towards Bloodless Potassium Measurement from ECG using Neuro-Fuzzy Systems

本文提出一种基于心电图和神经模糊系统（FCM-ANFIS）的无创血钾测量方法，通过特征选择与分类，实现对低钾和高钾血症的准确检测，减少心脏事件风险。