[PDF] Top 20 An implementation of least square support vector machine (LS-SVM) for rehabilitation bio-signal analysis using surface electromyography (SEMG) signal
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An implementation of least square support vector machine (LS-SVM) for rehabilitation bio-signal analysis using surface electromyography (SEMG) signal
... xi LIST OF ABBREVIATIONS LS-SVM - Least Square Support Vector Machine SVM - Support Vector Machine k-NN - K nearest Neighbour ANN - Artificial Neural Network RBF Radial Basis Function LB[r] ... See full document
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Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... The objective of this paper is to review the wavelet-based forecasting models through which we would like to test the predictability of the models and compare those without the wavelet-based models. The models are based ... See full document
10
Long-term load forecasting using grey wolf optimizer -least-squares support vector machine
... paper, Least-Square Support Vector Machine (LSSVM) is used to predict the long-term load ...– Least-Square Support Vector Machine ... See full document
7
Research on the Geological Sourcing of Raohe Honey by Inductively Coupled Plasma Mass Spectrometry with Primary Composite Analysis and Forecasting Models
... Partial Least Square Discri- minate and Support Vector Machine, built on the four new variables of primary composites with the Agilent MPP ...and Support Vector ... See full document
12
FPGA Implementation of Recursive Least Square Algorithm for 1-D Signal Denoising
... This process is used to find the weight vectors for training the ALC (Adaline) [2]. The learning rules can be incorporate to the same device that therefore can be auto adapted as there are presented the wished inputs and ... See full document
7
Breast Cancer Diagnosis by CAD
... Breast cancer diagnosis using least square support vector machine Diagnose Breast Cancer through Mammograms Using EABCO Algorithm Evaluation of Breast Cancer with a ComputerAided Detecti[r] ... See full document
5
Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... the support vector machine and the particle swarm these two intelligent optimization ...in least squares support vector regression ...partial least squares support ... See full document
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... squares support vector machine ） [5] flow the principle of the structural risk minimization of the SVM algorithm in training process, and the inequality constraints of the objective function in SVM ... See full document
6
Application of Wavelet Denoising and Artificial Intelligence Models for Stream Flow Forecasting
... denoising Least Square Support Vector Machine (LSSVM) and Artificial Neural Network (ANN) models were evaluated for forecasting daily Multi-Station (MS) streamflow of the Snoqualmie ... See full document
8
Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models
... (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO2 emission in six Latin American countries, ... See full document
20
Multi-Output Least Square Support Vector Machine for the Reconstruction of Perfect Electric Conductor Below Rough Surface
... different methods. In [5], the reconstruction is posed as a nonlinear least-squares optimization problem, which is solved by Levenberg- Marquardt iterative algorithm. Paper [6] also views the reconstruction as a ... See full document
12
A novel method of BFOA LSSVM for electricity price forecasting
... of Least Square Support Vector Machine (LSSVM) with Bacterial Foraging Optimization Algorithm (BFOA) to predict daily electricity prices in ... See full document
8
Intelligent Robotic Inspection System Using Image Processing Technique
... the Least Square Support Vector machine (LSSVM), Linear Kernel and radial basis function has maximum overall performance in terms of Classification rate comparison to ...various ... See full document
5
The Application of Least Square Support Vector Machine as a Mathematical Algorithm for Diagnosing Drilling Effectivity in Shaly Formations
... Least Square Support Vector Machines Suykens and Vandewalle proposed a modified version of SVM called least square SVM (LS-SVM) ... See full document
14
Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection
... the support vector machine (SVM), which has a more powerful nonlinear processing ability and high-dimensional mapping capability, to build the forecasting model of icing ...on support ... See full document
17
Sulfur Dioxide Detection Signal Denoising Based on Support Vector Machine
... concentration. The system is mainly composed of light source, gas chamber, signal collect and processing part. The deuterium lamp (LHD30, Zolix) is used as excitation source, it has peak in 200~300nm and good ... See full document
7
The Improved Least Square Support Vector Machine Based on Wolf Pack Algorithm and Data Inconsistency Rate for Cost Prediction of Substation Projects
... input vector of the power projects cost forecasting model with a strong pertinence and reduces the redundancy of the input information in order to improve the accuracy of the cost forecasting of the substation ... See full document
20
An Improved Kriging Interpolation Technique Based on SVM and Its Recovery Experiment in Oceanic Missing Data
... called Support Vector Machine-Kriging interpolation (SVM- Kriging) was ...uses least square support vector machine (LS-SVM) to fit the variogram, which needn’t ... See full document
5
Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
... While M5Tree was found to be relatively superior to the MARS and LSSVM models for a majority of the sites, there appeared to be a significant dependence of the respective model performance on the geographic distribution ... See full document
68
Cumulant Features based Classification of Brain MR Images using ANN and LS SVM Algorithm
... and least square based support vector machine algorithms are adopted to classify the extracted secondary features as normal or suffers from any class of ... See full document
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