Least Squares Support Vector Machine (LS-SVM)
Determination of 137Ba Isotope Abundances in Water Samples by Inductively Coupled Plasma-optical Emission Spectrometry Combined with Least-squares Support Vector Machine Regression
... A simple and rapid method for the determination of 137 Ba isotope abundances in water samples by inductively coupled plasma-optical emission spectrometry (ICP-OES) coupled with least-squares support ...
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Analysis of Ammonia Nitrogen Content in Water Based on Weighted Least Squares Support Vector Machine (WLSSVM) Algorithm
... [4], support vector machine [5] and other forecasting methods can be used to establish data prediction model, but the neural network requires a large number of training sample data, not suitable for ...
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Segmentation algorithm for Hangzhou white chrysanthemums based on least squares support vector machine
... Abstract: In order to realize the visual positioning for Hangzhou white chrysanthemums harvesting robot in natural environment, a color image segmentation method for Hangzhou white chrysanthemum based on least ...
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Multi-phase classification by a least-squares support vector machine approach in tomography images of geological samples
... Abstract. Image processing of X-ray-computed polychro- matic cone-beam micro-tomography (µXCT) data of geo- logical samples mainly involves artefact reduction and phase segmentation. For the former, the main ...
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Least Squares Support Vector Machine for Constitutive Modeling of Clay
... and support vector machine (SVM) have been successfully used in constitutive modeling of ...paper, least squares support vector machine (LSSVM) is proposed to ...
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Using Principal Component Analysis and Least Squares Support Vector Machine to Predict the Silicon Content in Blast Furnace System
... Abstract—Blast furnace system is a typical example of complex industrial system. The silicon ([Si]) content in blast furnace system is an important index to reflect the temperature of furnace. Therefore, it is ...
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Classification of Clustered Microcalcifications in Mammograms using Particle Swarm Optimization and Least Squares Support Vector Machine
... principle, least-squares support vector machine (LSSVM) [15,16] is similar to standard SVM [14] but the former accomplishes learning task by using least-square empirical error as ...
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A novel fault-tolerant control strategy for near space hypersonic vehicles via least squares support vector machine and backstepping method
... on Least Squares Support Vector Machine In this section, an adaptive fault-tolerant controller for the reentry attitude control of NSHV is designed with the method of error compensation ...
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← Return to Article Details ENHANCEMENT SPECTRAL RESOLUTION FOR THE PREDICTION AMOUNT OF SOFOSBUVIR AND LEDIPASVIR USING LEAST SQUARES SUPPORT VECTOR MACHINE AND ARTIFICIAL NEURAL NETWORKS IN PHARMACEUTICAL FORMULATION
... Therefore, least square support vector machine (LS-SVM) and artificial neural networks (ANNs) with different training algorithms as Chemometrics methods combined with UV spectrophotometry were ...
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Detection of Retinal Blood Vessels for Disease Prediction using Machine Learning
... 2) “Shishir Maheshwari”, et al [6] introduces an automated diagnosis of glaucoma system. The available scanning methods are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and Optical Coherence ...
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Text Classification Using ES Based L1 LS SVM
... important machine learning method based on statistical learning theory, SVM [1,2] have received a lot of attention in the machine learning community because of their remarkable generalization ...
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Parsimonious least squares support vector regression using orthogonal forward selection with the generalised kernel model
... learning machine. Forward selection using the Orthogonal Least Squares (OLS) algorithm (Chen et ...the Support Vector Machine (SVM) (Chapelle et ...The Least ...
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ASSOCIATION RULE MINING BASED VIDEO CLASSIFIER WITH LATE ACCEPTANCE HILL CLIMBING APPROACH
... weighted least squares support vector machine algorithm and putting fuzzy weighted membership on the squared error of each sample ...weighted least squares support ...
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A synthetic approach to weathering degree classification of stone relics case study of the Yungang Grottoes
... ultrasonic machine, and the corre- sponding ultrasonic velocities were ...a least squares support vector machine ...a machine learning software package known for its quick ...
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Analysis of Cardiotocogram Data for Fetal Distress Determination by Decision Tree Based Adaptive Boosting Approach
... by least squares support vector machine (LS-SVM) utilizing a binary decision tree, optimizing the parameters by PSO, they reached a classification accuracy rate of ...
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Earlier Detection of Glaucoma using Empirical Wavelet Transform
... the Least Squares Support Vector Machine (LS-SVM) classifier with kernels such as Radial Basis Function (RBF) Morlet wavelet and Mexican-hat wavelet LS-SVM is a supervised ...
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Diabetic Retinopathy, an Eye Disease Prediction System: Survey
... 2) “Shishir Maheshwari”, et al [6] introduces an automated diagnosis of glaucoma system. The available scanning methods are Heidelberg Retinal Tomography (HRT), Scanning Laser Polarimetry (SLP) and Optical Coherence ...
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Hybridizing GMDH and least squares SVM support vector machine for forecasting tourism demand
... handling least squares support vector machine (GLSSVM) algorithm, which combines the theory a group method of data handling (GMDH) with the least squares support ...
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Using Least Squares Support Vector Machines for Frequency Estimation
... Frequency estimation is transformed to a pattern recognition problem, and a least squares support vector machine (LS-SVM) estimator is derived. The estimator can work efficiently ...
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New Intelligent Classification Techniques for Diagnosis of Diabetes Mellitus based on Modified PSO
... classifier, Support Vector Machine, Least Squares Support Vector Machine, Particle Swarm ...of machine learning ...
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