LS-SVM

Acronym	Definition
LS-SVM	Least Square Support Vector Machine

References in periodicals archive ?

Keywords: Wind forecast, WRF/YSU/Noah, BP-ANN, LS-SVM

Prediction of hub height winds over the plateau terrain by using WRF /YSU/Noah and statistical forecast/Prediccion de vientos en una altiplanicie a la altura del eje con el esquema de la Universidad Yonsei/Modelo Superficie Terrestre Noah y la prediccion estadistica

Combined with the related research of SVM [18], the researchers put forward the LS-SVM, LS-SVM is an upgrade for the SVM, which changes the traditional SVM inequality constraints into equality constraints and taking the error squared and the loss function as the training set experience loss.

Wind power prediction based on LS-SVM model with error correction

In order to improve the classification ability in real datasets, we adopt LS-SVM with kernel as the predictor.

Generalization bounds derived IPM-based regularization for domain adaptation

Algorithms DGSMOTE OS-ELM MCOS-ELM LS-SVM Testing time (s) 0.

A Novel SMOTE-Based Classification Approach to Online Data Imbalance Problem

Additionally, when applying LS-SVM, it is recognizable that the tuning parameters, namely regularization and kernel function parameters, play an important role in establishing the predictive model (Yu et al.

Interval estimation of construction cost at completion using least squares support vector machine

Lastly, the PSO optimized LS-SVM is proposed to identify the plant operation states.

Fusing of multi-channel sensors for power station fault diagnosis in marine power systems

Theoretical backgrounds of RT, feature reduction and LS-SVM is described in Section 2, Section 3 and Section 4, respectively.

Brain MR image classification using multiscale geometric analysis of Ripplet

The multi-output LS-SVM is briefly introduced in Section 4.

Multi-output least square support vector machine for the reconstruction of perfect electric conductor below rough surface

Section 2 contains the basic principle of SVM and LS-SVM.

Prediction of passenger flow on the highway based on the least square support vector machine/Maziausiu kvadratu atraminiu vektoriu metodo taikymas keleiviu srautui greitkelyje prognozuoti

At the same time, the chemometrics methods of partial least-squares (PLS) and LS-SVM were compared, and the sensitive wavebands for N, P, and K were studied.

Nitrogen, phosphorus, and potassium prediction in soils, using infrared spectroscopy

The LS-SVM was available as a software tool, developed at the Department of Electrical Engineering (ESAT), at the Katholieke Universiteit, Leuven.

Acoustic emission for on-line monitoring of damage in various application fields

Vapnik's SVM classifier formulation was modified by Suykens and Vandewalle (1999) into the following least-squares or LS-SVM formulation:

A comparison of state-of-the-art classification techniques for expert automobile insurance claim fraud detection