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Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization
In this study, reinforced fuzzy radial basis function neural networks (FRBFNN) classifier driven by feature extracted data completed with the aid of...
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Method Level Refactoring Prediction by Weighted-SVM Machine Learning Classifier
Lousy design and development methods in software systems are well-known concepts in the field of object-oriented software engineering known as “code...
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A Multi-view Semi-supervised Takagi–Sugeno–Kang Fuzzy System for EEG Emotion Classification
Electroencephalogram (EEG)-based emotion recognition plays an important role in brain-computer interface and mental health monitoring. The large...
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Application of Interval Type-2 Fuzzy Logic System and Ant Colony Optimization for Hydropower Dams Displacement Forecasting
Forecasting the dam displacement is an important problem in dam monitoring. By using multi-temporal monitoring data to make predictions and forecast...
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Wheat Seed Classification Using Gurobi Optimized Piecewise Linear Approximation-Based SVM
Due to the variety of grains and labor-intensive manual sorting processes, the demand for automated grain classification is rising. Accurate grain...
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A Fuzzy Neural Network Classifier and Its Dual Network for Adaptive Learning of Structure and Parameters
A novel Fuzzy Neural Network Classifier (FNNC) with high classification accuracy is proposed in this paper. To alleviate rule explosion, the adaptive...
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Domain adaptation framework with ensemble of fuzzy rules-based ELMs for remote-sensing image classification
The domain adaptation (DA) transfer learning technique can accurately classify land cover in remote-sensing (RS) images, even with a small number of...
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Real-time robust bearing fault detection using scattergram-driven hybrid CNN-SVM
Industries rely on the early and efficient detection of bearing faults to enhance the service life of three-phase induction motors. Various bearing...
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Chatter detection in milling process based on the combination of wavelet packet transform and PSO-SVM
Chatter is one of the biggest unfavorable factors during the high speed machining process of a machine tool. It severely affects the surface finish...
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Fuzzy knowledge based intelligent decision support system for ground based air defence
This research proposes an Intelligent Decision Support System for Ground-Based Air Defense (GBAD) environments, which consist of Defended Assets (DA)...
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A two-stage strategy for generator rotor angle stability prediction using the adaptive neuro-fuzzy inference system
Generator rotor angle oscillations can be caused by sudden changes in its mechanical power input or its electrical power output. When dampening or...
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SVM-Based Vehicle Number Plate Detection and Recognition
The amount of automobiles has dramatically expanded during the last few decades. The number of user road cars has increased as a result of the rising...
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Short-Term Traffic Flow Forecast Based on ARIMA-SVM Combined Model
Short-term traffic flow prediction is an important basis for traffic state discrimination and traffic congestion prediction. The ARIMA-SVM combined...
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A 3D Membership Function-Based Type-2 Fuzzy Brain Emotional Learning Predictor for Forecasting Taiwan Stock Price
This study proposes a new efficient predictor called a three-dimensional (3D) membership function-based Type-2 Fuzzy Brain-Emotional Learning...
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Cavitation Detection of Centrifugal Pumps Using SVM and Statistical Features
Centrifugal pump is one type of pump that is widely used in the industry. Its mechanism which creates pressure change may cause cavitation....
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Novel fuzzy clustering-based undersampling framework for class imbalance problem
The class imbalance problem occurs in various real-world datasets. Although it is considered that samples of the classes of a dataset are evenly...
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Fuzzy time series forecasting based on hesitant fuzzy sets, particle swarm optimization and support vector machine-based hybrid method
In this paper, we propose hesitant fuzzy sets-based hybrid time series forecasting method using particle swarm optimization and support vector...
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Seasonal prediction of solar irradiance with modified fuzzy Q-learning
Renewable energy plays an important role in the power mix of India being sustainable and environmental source of energy. In this study, modified...
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A Hybrid Method for Big Data Analysis Using Fuzzy Clustering, Feature Selection and Adaptive Neuro-Fuzzy Inferences System Techniques: Case of Mecca and Medina Hotels in Saudi Arabia
Nowadays, social data analysis is widely used in different businesses. Machine learning has proved its effectiveness in big data analysis for...
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Dynamic Event-triggered Fuzzy Filtering for Semi-linear Parabolic PDE Systems: A Reduced-order Approach
This paper investigates dynamic event-triggered fuzzy reduced-order filtering for a class of nonlinear semi-linear parabolic partial differential...