Least Square-Support Vector Machine
Support Vector Machine and Least Square Support Vector Machine Stock Forecasting Models
... the Support Vector Machine and Least Square Support Vector Machine models in stock ...(GARCH), Support Vector Regression (SVR) and Least ...
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Fault diagnosis of gearboxes using wavelet support vector machine, least square support vector machine and wavelet packet transform
... Eventually, the gearbox faults are classified using these statistical features as input to least square support vector machine (LSSVM) and wavelet support vector ...
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Medium term load forecasting using evolutionary programming least square support vector machine
... This paper presents new intelligent-based technique namely Evolutionary Programming- Least-Square Support Vector Machine (EP-LSSVM) to forecast a medium term load demand. Medium-term ...
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Self organizing map and least square support vector machine method for river flow modelling
... and Least Square Support Vector Machine (LSSVM) model referred as SOM-LSSVM model is ...Mean Square Error (RMSE) and Correlation Coefficient ...
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Diabetes Prediction using Linear Regression, Decision Tree & Least Square Support Vector Machine
... numerous machine learning ...from Least Square Support Vector Machine is reliable approach and can forecast the unforeseen measures and symptoms foe endocrinology ...of ...
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Hybrid Simulation of a Frame Equipped with MR Damper by Utilizing Least Square Support Vector Machine
... 2. Least square support vector machine (LS-SVM) Supervised learning systems that analyze data and recognize patterns, known as support vector machines (SVMs), are used for ...
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Future changes in rainfall, temperature and reference evapotranspiration in the central India by Least Square Support Vector Machine
... There is a continuous rise in the minimum and maximum temperature. Some fluctuation with decreased temperature is found, but there is an overall increasing minimum and maximum temperatures generated by LS-SVM in the ...
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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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Application of a hybrid of least square support vector machine and artificial bee colony for building load forecasting
... Accurate load forecasting is an important element for proper planning and management of electricity production. Although load forecasting has been an important area of research, methods for accurate load forecasting is ...
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Vibration Fault Diagnosis Method of Centrifugal Pump Based on EMD Complexity Feature and Least Square Support Vector Machine
... Abstract Aiming at the non-stationary and non-linearity characteristics of the vibration signals of centrifugal pump, a new method based on complexity feature of Empirical Mode Decomposition (EMD) and Least ...
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Least Square Support Vector Machine and Minumum Redundacy Maximum Relavance for Diagnosis of Breast Cancer from Breast Microscopic Images
... Table 2.The diagnosis achievement results obtained by mRMR_LSSVM method 6. Conclusion So far, in every field of health have been made different studies. And many systems have been developed (A. ùengür, 2008). In this ...
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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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An improved building load forecasting method using a combined least square support vector machine and modified artificial bee colony
... Faculty of Mechanical Engineering, Universiti Teknologi Malaysia (UTM), 81310 Johor Bahru, Johor, Malaysia * Corresponding author: yusrih@fke.utm.my, Tel: 607-5557001, Fax: 607-5557005 Abstract: This paper presents an ...
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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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Icing Forecasting of High Voltage Transmission Line Using Weighted Least Square Support Vector Machine with Fireworks Algorithm for Feature Selection
... Keywords: icing forecasting; fireworks algorithm; least square support vector machine; feature selection 1. Introduction In recent years, the icing disaster caused by the global extreme ...
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Utilization of a least square support vector machine (LSSVM) for slope stability analysis
... The developed LSSVM model can be used as a quick tool for slope stability analysis without using any table or chart.. The user can employ the developed equations for slope stability anal[r] ...
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Application of the Least Square Support Vector Machine for point-to-point forecasting of the PV Power
... the least squares support vector machine (LS-SVM) has been proposed which can handle the large training database with a very fewer deal of computation and benefits from reasonable accuracy and ...
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Empirical mode decomposition with least square support vector machine model for river flow forecasting
... Choy, K. Y. and Chan, C. W., (2003). Modelling of river discharges and rainfall using radial basis function networks based on support vector regression. International Journal of Systems Science. 34(14-15): ...
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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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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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