[PDF] Top 20 Fuzzy Particle Swarm Optimization Based Feature Learning Vector
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Fuzzy Particle Swarm Optimization Based Feature Learning Vector
... unsupervised learning without predefined class identifiers and it is a process of partition the data set into several groups based on the similarity which done by their ...work, Feature Weighted ... See full document
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Pareto design of fuzzy tracking control based on particle swarm optimization algorithm for a walking robot in the lateral plane on slope
... nonlinear fuzzy tracking control for the walking robots that step in the lateral plane on a ...When fuzzy control is utilized to track the desired trajectories of the joints, there has to be a trade- off ... See full document
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Fusion global-local-topology particle swarm optimization for global optimization problems
... adaptive fuzzy particle swarm optimization (AFPSO) [19] was proposed to utilize fuzzy inferences for adjusting acceleration ...adaptive particle swarm optimization ... See full document
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Genetic learning particle swarm optimization
... GA based on a fit- ness ranking ...a fuzzy logic method for ...gbest particle, the second being to apply the mutation of GA on stagnated par- ticles, and the third being to divide the number of ... See full document
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Improving the Operation of Text Categorization Systems with Selecting Proper Features Based on PSO-LA
... many feature selection ...method based on Particle Swarm Optimization (PSO) algorithm and Support Vector Machine ...with Learning Automata in order to make it more ... See full document
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1. Optimal feature selection algorithm for high dimensional data sets using particle swarm optimization
... for feature subset selection based on fuzzy entropy and particle swarm ...the feature selection and the total number of parameters needed, effectively, thereby obtained higher ... See full document
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Rigid Point Feature Registration for MRI Brain Images based on Fuzzy Transform
... in feature-based matching as ...in feature-based ...appropriate optimization algorithm. The choice of optimization method is very much linked to the characteristics of the ... See full document
6
A Framework for Selecting the Most Reliable Path in a Computer Network using Particle Swarm Optimization (PSO) based on Fuzzy Logic
... S vector take the values 1, if the network element is required to be working; -1, if the network element is not required to be working; or 0, if the status of the element is of no ... See full document
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A NOVEL APPROACH TO GENERATE DISTRIBUTED GLOBAL AND LOCAL USE CASES: A NEW NOTATION
... Support Vector Machine classifier and Particle Swarm Optimization (Basari, et ...Support Vector Machines and Character- Based N-gram model (Ye, Zhang, & Law, ...Support ... See full document
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IITP at EmoInt 2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features
... of feature vector of- ten contributes to high complexity of the ...a Particle Swarm Optimization (PSO) based feature selection technique for selecting a subset of features ... See full document
7
Automatic Detection of Atrial Fibrillation Using PSO
... environments. Based on the BCG data recorded in a study with ten AF patients, we evaluate and rank popular machine learning algorithms (support vector machines, random forests) for their ...the ... See full document
6
Feature Extraction Techniques Based on Swarm Intelligence in OCR
... machine learning in last ...Content Based Image Retrieval (CBIR) system, which solve the delinquent of searching images in huge ...is feature extraction and algorithm that take care of such ...For ... See full document
7
INVESTIGATING THE PERFORMANCE OF OPTIMIZATION TECHNIQUES WITH SVM FOR MEDICAL IMAGE CLASSIFICATION
... 1. Feature are extracted from the CT images using Coif let wavelets; ...Support Vector Machine; 3. The parameters of the SVM are optimized using Particle Swarm Optimization (PSO), and ... See full document
12
Particle Swarm Optimization based Fuzzy Logic Controller for Luo Converter
... and fuzzy rules are represented by the optimization variable of the PSO, called ...a vector of real numbers that consists of three parts, the first part is related to the real numbers required to ... See full document
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Online Full Text
... hybrid Particle Swarm Optimization Fuzzy Support Vector Machines (PSOFuzzySVM) to predict oil well gas lift performance and production optimization in a ...using particle ... See full document
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Radial Basis Function Neural Network Trained by Adaptive Chaotic Particle Swarm Optimization to Control Nonlinear Systems
... on. Based on the biological receptive fields, the RBFNN, which employs local receptive fields to perform function mappings, is a very useful structure to control dynamical systems (Lin et ...the learning ... See full document
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Imbalance learning for fault diagnosis gearbox in wind turbine
... of learning machines. Here we propose PSO (Particle Swarm Optimization based feature selection for Easy Ensemble) to solve the class imbalanced problem in the fault diagnosis of ... See full document
6
A Survey on Intrusion Detection Techniques
... In [6] research work, they have proposed a new approach called outlier detection where, the anomaly dataset is measured by the Neighbourhood Outlier Factor (NOF). Here, trained model consist of big datasets with ... See full document
7
Combined Emission and Economic Dispatch Problems using Hybrid of Particle Swarm and Teaching Learning based Optimizations
... Hybrid optimization based on the particles of swarm and teaching learning to solve the four-case problem of the combined economic emission of load ... See full document
8
Parameter optimization of evolving spiking neural networks using improved firefly algorithm for classification tasks
... al., 2009). Despite that, ESNN is affected by the selection of parameters, in which case the right selection of parameters will allow the network to develop towards a more effective structure. In Hamed et al. (2011) ... See full document
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