Least square support vector machine (LSSVM)
Application of Wavelet Denoising and Artificial Intelligence Models for Stream Flow Forecasting
... the Least Square Support Vector Machine (LSSVM) and Artificial Neural Network (ANN), former one as a persuasive forecasting tool and the latter as a novel neural network ...
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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 LSSVM encompasses similar advantages as SVM, but its additional ...
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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 ...the LSSVM with BFOA ...
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A Hybrid Method of Least Square Support Vector Machine and Bacterial Foraging Optimization Algorithm for Medium Term Electricity Price Forecasting
... for Least Square Support Vector Machine (LSSVM) was developed in this study to provide an accurate electricity price forecast with optimized LSSVM parameters and input ...
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Deformation prediction model of surrounding rock based on GA LSSVM markov
... Support vector machine, with the foundation of struc- tural risk minimization principle, has advantages that the others, with the foundation of empirical risk minimize- tion principle, have not ...
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Determination of Compressive Strength of Concrete by Statistical Learning Algorithms
... e.g. support vector machine (SVM) [1, 2], least square support vector machine (LSSVM) [3], and relevance vector machine (RVM) [4] have been ...
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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 ...
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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 ...
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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 ...
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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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Empirical mode decomposition with least square support vector machine model for river flow forecasting
... This study attempts to adopt a three-steps-prediction based on EMD-KPCA- LSSVM to forecast the monthly river flow in Malaysia. Since previous researchers have employed EMD-SVM, EMD-LSSVM referred to as ...
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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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A hybrid model of self organizing maps and least square support vector machine for river flow forecasting
... and Least Squares Support Vector Machine (LSSVM) model, referred to as the SOM-LSSVM model for river flow ...individual LSSVM is applied to forecast the river ...ANN, ...
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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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Current Status Investigation and Predicting Carbon Dioxide Emission in Latin American Countries by Connectionist Models
... including LSSVM (Least Square Support Vector Machine) and evolutionary methods are employed for predicting the amount of CO2 emission in six Latin American countries, ...
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Time Series Forecasting with Missing Values
... using LSSVM, the kernel function measures not only the values between two patterns, but also the temporal information we ...the LSSVM model based on the temporal ...
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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
... studies. MLR, as most commonly used chemometrics method, has been extensively applied to QSAR investigations. However, the practical usefulness of MLR in QSAR studies is rather limited, as it provides relatively poor ...
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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 ...
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Application of LSSVM to logistics demand forecasting based on grey relational analysis and kernel principal component analysis
... total social logistics costs. And σ 2 is the kernel parameter. Coupling (11) with (13), two parameters, the regularized parameter γ and the kernel parameter σ 2 , should be determined first. Due to LSSVM model ...
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Particle swarm optimized partial least square support vector regression model for tax revenue prediction
... From table one, we can see that the growth of tax revenue was relatively stable from 1981 to 1984 but the tax revenue varied greatly from 1984 to 1985while the input variables changed little. This suggests that policy ...
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