LS-SVM
LS-SVM based Algorithm for the Identification of QRS complexes in Single-lead ECG using Entropy Criterion
... In single lead average detection rate (DR) of 99.96% has been obtained with the false negative and false positive percentage of 0.04% and 0.69% respectively. The performance of the algorithm compares favorably with other ...
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Classification of Power Quality Disturbances Using Wavelet Packet Energy Entropy and LS SVM
... The second stage is the disturbances classification. Sup- port vector machine (SVM) can avoid the problems of over learning, dimension disaster and local minimum in the classical study method, and is applied in ...
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The LS SVM algorithms for boundary value problems of high order ordinary differential equations
... When 11 equidistant points in the interval [0, 1] are used for training, the results are depicted in Fig. 5(a). Figure 5(b) shows the errors between the exact solution and the ap- proximate solution obtained by the ...
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An artificial intelligence model based on LS-SVM for third-party logistics provider selection
... i.e., LS-SVM, can theoretically provide the global optimum, rather than local optima, as there is a common-phenomenon in the tradi- tional AI models ...the LS-SVM in the re- cent years ...
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A New Method Evaluating Credit Risk with ES Based LS SVM MK
... So the minimum of 1 can guarantee e 1 in a lower level. And it improves the robustness for the final solution. It can be found that above linear programming formulation and its dual description is equivalent to ...
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Introducing a Novel Method to Digital Image Watermarking in Multiwavelet Domain Based on LS-SVM
... and SVM. In this method, SVM is trained to memorize relationship between the watermark and the image-dependent watermark other than embedding watermark into the host ...trained SVM is used to recover ...
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Volatility Forecast of Financial Performance Based on the Logit and LS SVM Mixed Model
... In the formula (13), b and α is obtained from formula (12), Y be confirmed according to the nature of the training sample, that is to say when the samples are the companies whose financial performance increase greatly, Y ...
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Cumulant Features based Classification of Brain MR Images using ANN and LS SVM Algorithm
... classification. SVM has superior generalization capability to classify any unknown input data accurately ...based SVM [19]. The LS-SVM are least squares versions of ...of LS-SVM ...
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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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An Analysis of Near-Field Scattering Characteristics of Rough Target: from the Perspective of Bidirectional Reflectance Distribution Function Based on LS-SVM
... of LS-SVM and the modeling process are firstly introduced in ...among LS-SVM, the back propagation neural network (BPNN) and the measured data is carried ...the LS-SVM model has ...
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SIMO OFDM Channel Estimation based on Nonlinear Complex LS SVM
... In this contribution, we propose a robust highly selective nonlinear channel estimator for Single -Input Multiple-Output (SIMO) Orthogonal Frequency Division Multiplexing (OFDM) system using complex Least Squares Support ...
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LS SVM Based WSN Location Algorithm in NLOS Environments
... a LS-SVM based location method in [16] is proposed to learn the relationship between the TOA measurements and the blind nodes ...improved LS-SVM based location algorithm to solve mobile ...
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Text Classification Using ES Based L1 LS SVM
... in SVM is replaced by a sum square error loss function, the inequality restriction is replaced by the equation ...for LS-SVM ...weighted LS-SVM to solve this ...
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Approximate LS-SVM, Container through- -put forecasting, Time series analysis
... of SVM, called the least squares support vector machine (LS-SVM), as an effective technique to forecast the monthly container throughput in Hong ...training LS-SVM by employing an ...
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Comparisons between motor area EEG and all-channels EEG for two algorithms in motor imagery task classification
... and LS-SVM, and the CC-LR algorithm combines the CC technique and LR model for MI tasks ...CC-LS- SVM algorithm is higher for the all-channels data than for the motor area data for the MI EEG ...
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Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis
... The BFD framework allows for the inclusion of some type of ARD priors. Incorporation of this type of prior performs feature selection by assigning very high weights to some of the posterior values of the hyperparameters ...
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Segmentation algorithm for Hangzhou white chrysanthemums based on least squares support vector machine
... of LS-SVM model (classifier) and SVM model (classifier), were extracted via RGB value of image and gray level co-occurrence ...trained LS-SVM model (classifier) and SVM model ...
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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
... Where y pred is predicted value in the sample, y obs is the observed value of the sample and n is the number of samples in the validation set 30 . The results of the prediction of concentrations related to synthetic ...
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A Hybrid Approach Based on Higher Order Spectra for Clinical Recognition of Seizure and Epilepsy Using Brain Activity
... The LS-SVMs were originally imple- mented for binary classification, but Suykens and Vande- walle (2002) proposed an extended version of LS-SVMs to multi-class problems, using different output coding meth- ...
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Nonlinear Analysis of the Kinetics and Adsorption Isotherm of Removal of Methylene Blue by a Modified CuO Nanoparticles
... Least square-support vector (LS-SVM) method for modeling of methylene blue dye adsorption using copper oxide loaded on activated carbon: Kinetic and isotherm study. Removal of [r] ...
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