least square support vector machine
Self organizing map and least square support vector machine method for river flow modelling
... called Least Square Support Vector Machine (LSSVM) to encounter the SVM quadratic programming ...the least squares linear system as its loss function, which is computationally ...
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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] ...
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... ABSTRACT: Machine learning algorithms will facilitate us to sight the onset endocrinology or diabetes ...numerous machine learning ...from Least Square Support Vector ...
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A Hybrid Method of Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm for Medium Term Electricity Price Forecasting
... This work contributes to the field of electricity price forecasting by developing a novel hybrid method of Least Square Support Vector Machine and Bacterial Foraging Optimization ...
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Hybrid Simulation of a Frame Equipped with MR Damper by Utilizing Least Square Support Vector Machine
... In hybrid simulation, the structure is divided into numerical and physical substructures to achieve more accurate responses in comparison to a full computational analysis. As a consequence of the lack of test facilities ...
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Medium term load forecasting using evolutionary programming least square support vector machine
... Programming- Least Square Support Vector Machine (EP-LSSVM) was proposed to forecast medium term load demand due to its good performance in generalization, optimization, ability to ...
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Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection
... Abstract: Accurate forecasting of icing thickness has a great significance for ensuring the security and stability of power grid. In order to improve the forecasting accuracy, this paper proposes an icing forecasting ...
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The Improved Least Square Support Vector Machine Based on Wolf Pack Algorithm and Data Inconsistency Rate for Cost Prediction of Substation Projects
... improved least squares support vector machine (ILSSVM) optimized by wolf pack algorithm(WPA) is proposed to improve the accuracy and stability of the cost forecasting of substation ...improved ...
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Modeling of Corrosion-Fatigue Crack Growth Rate Based on Least Square Support Vector Machine Technique
... on least square support vector machine (LSSVM) framework is employed for prediction of FCG behavior of three different alloys including, Ti-6Al-4V alloy and two Cu-strengthened high ...
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Forecasting Crude Oil Prices using Discrete Wavelet Transform with Autoregressive Integrated Moving Average and Least Square Support Vector Machine Combination Approach
... and Least Square Support Vector Machine (LSSVM) combination as the forecasting method to enhance the accuracy in forecasting the crude oil spot prices (COSP) ...Mean Square Error ...
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A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
... Abstract. Successful river flow forecasting is a major goal and an essential procedure that is necessary in water resource planning and management. There are many forecasting tech- niques used for river flow forecasting. ...
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The Application of Least Square Support Vector Machine as a Mathematical Algorithm for Diagnosing Drilling Effectivity in Shaly Formations
... robust support vector regression (SVR) methodology that offers superior performance for important drilling engineering ...hybrid least square support vector regression into the ...
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Multi-Output Least Square Support Vector Machine for the Reconstruction of Perfect Electric Conductor Below Rough Surface
... application. Support vector machine (SVM) [9], another learning by example method, can avoid these shortcomings of ANN by solving a constrained quadratic optimization problem during the training ...
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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 ...
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Quantitative Structure Property Relationships Study of Mobility of Some Benzoaromatic Carboxylate Derivatives by Partial Least Squares and Least-Square Support Vector Machine
... A quantitative structure-property relationship (QSPR) study is suggested for the prediction of mobilities (m) of benzoaromatic carboxylates. Ab initio theory was used to calculate some quantum chemical descriptors ...
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Drought forecasting in eastern Australia using multivariate adaptive regression spline, least square support vector machine and M5Tree model
... Drought forecasting based on SPI and data-driven models where drought indicators are used for forecasting, has been researched attentively in different geographic locations. Cancelliere et al. (2007) designed an ...
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Empirical mode decomposition with least square support vector machine model for river flow forecasting
... As this study will provide the information of the future river flow value based on past time series data, it is required for the proposed model of EMD-KPCA-LSSVM to forecast the monthl[r] ...
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Study On Prediction Models For Integrated Scheduling In Semiconductor Manufacturing Lines
... Extreme Least Square Support Vector Machine (IELSSVM) is presented to meet the demand of actual application and overcome the deficiencies of other intelligent modeling ...
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... partial least square support vector machine (PLS-SVR) is used to construct a tax revenue prediction ...of support vector machine based ...
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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 proposed in this ...uses Least Square Support Vector Machine (LS-SVM) to fit the variogram, ...
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