[PDF] Top 20 Training of Radial Basis Function Using Particle Swarm Optimization
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Training of Radial Basis Function Using Particle Swarm Optimization
... Assume that each case in the training set has two predictor variables, x and y. The cases are plotted using their x,y coordinates as shown in the figure. Also assume that the target variable as two ... See full document
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Learning enhancement of radial basis function network with particle swarm optimization
... 5 Venkatesan et al. (2006) have used RBF Network for pattern recognition and classification for diagnosis of diabetes mellitus and compare the results with MLP Network and logistic regression. Based on their results, it ... See full document
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Hybrid Approach to Optimize the Centers of Radial Basis Function Neural Network Using Particle Swarm Optimization
... the Radial Basis Function Neural Networks (RBFN), which are characterized from other types of NNs, including better approximation, simpler network structures and faster-learning algorithms ...better ... See full document
12
Artificial Neural Network Training By Using Regrouping Particle Swarm Optimization
... Network training by using Re-grouping Particle Swarm Optimization ...The Particle Swarm Optimization (PSO) can be used to optimize a particular objective ...ANN ... See full document
6
Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization
... direct optimization of a translation metric is an integral part of building state- of-the-art SMT ...rate training (MERT) can be extremely time-consuming, leading to a slow turn- around rate for SMT ... See full document
9
Hybridization of Neural Network-cum-Evolutionary Algorithm variants for Fraud Detection in Credit Cards Online Transaction
... the radial basis function (RBF) classifier to deal with classification for imbalanced two-class ...the training data set. Based on the over-sampled training data, the RBF classifier is ... See full document
6
Learning enhancement of radial basis function neural network with harmony search algorithm
... transfer function is required and secondly possibility of trapping into the local minima is too ...Global Optimization (SGO) techniques such as evolutionary algorithms are adopted for the training of ... See full document
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Parallel Implementation of Particle Swarm Optimization Variants Using Graphics Processing Unit Platform
... Particle Swarm Optimization (PSO) has been successfully applied to a lot of difficult and complex optimization problems such as artificial neural network training, function ... See full document
9
INTEGRATION OF MOBILE AND WEB APPLICATION: AN IMPLEMENTATION OF DIABETIC MANAGEMENT SYSTEM
... Jiang et al [15] proposed A liver cancer identification method based on PSO-SVM was proposed by Jiang et al [15]. The region of interest (ROI) is determined first by Lazy-Snapping, and texture features are extracted ... See full document
6
Classification of Remotely Sensed Data by Texture Features with the Nature Inspire Optimization Algorithm
... the basis of these features using Particle Swarm Optimization, hybrid ...the training Convolution Neural Network (CNN) is ... See full document
8
Path Planning for Unmanned Underwater Vehicle Based on Improved Particle Swarm Optimization Method
... improved particle swarm optimization (IPSO) was proposed to process the global path planning in a static underwater environment for ...an optimization objective. Then, on the basis of ... See full document
13
Optimum Design of Homopolar Radial Two-Degree-of-Freedom Hybrid Magnetic Bearing
... of particle swarm optimization (GAPSO) is proposed for homopolar permanent magnet biased magnetic bearings ...objective function, the multi-objective function is transformed into a new ... See full document
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FEATURE SELECTION USING MODIFIED ANT COLONY OPTIMIZATION APPROACH (FS MACO) BASED FIVE LAYERED ARTIFICIAL NEURAL NETWORK FOR CROSS DOMAIN OPINION MINING
... (SVM) using Radial-basis kernel function (RBF) and a Particle Swarm Optimization algorithm to optimize the parameters of SVM for effective classification of the ... See full document
13
Multi objective Network Reconfiguration of Distribution systems with Distributed Generators
... discrete particle swarm algorithm (MDPSO) and modified particle swarm optimization (MPSO) is proposed to find the optimal network reconfiguration and optimal size of the DG ...modified ... See full document
8
A numerical technique based on integrated RBFs for the system evolution in molecular dynamics
... Radial basis function networks (RBFNs) have emerged as a powerful numerical tool for the solution of differential equations (e.g. Fasshauer, 2007). These approximators are able to work well (i.e. ... See full document
21
Study on the optimization algorithm of sediment particle Imshanage
... chaotic particle swarm river sediment of optimization algorithm is an important means of detecting the silt content of river sediment in ...the optimization by making use of randomness, ... See full document
10
Comparative Analysis of Clustering & Enhancing Classification Using Bio- Inspired Approaches
... The proposed model focuses on the above objectives which are helpful in improving the classification parameters and are practically implemented using MATLAB 7.11.0 environment. In this proposed work, we used ... See full document
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Introduction To Swarm Intelligence And Its Application In Optimisation
... • Computational Swarm Intelligence Paradigms • Optimization Problems and Algorithm Classes • Formal Definitions of Optimization Problem Classes Topic 5: Using Particle Swarm Optimization[r] ... See full document
81
Storage planning of automated pharmacy based on an improved adaptive chaotic particle swarm optimization algorithm
... combinatorial optimization problems, due to the slow convergence speed and being easy to fall into local optimum of the genetic algorithm, it was urgent to explore new ways to solve optimization problems of ... See full document
7
Network reconfiguration for loss reduction with distributed generations using PSO
... of radial distribution networks, which finally led to loss ...heuristic optimization technique for the reconfiguration of distribution networks to decrease their resistive line ...binary particle ... See full document
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