LSSVM

AcronymDefinition
LSSVMLeast Squares Support Vector Machine
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References in periodicals archive ?
The forecast results of different seasons show that both the RBF neural network prediction model and the LSSVM prediction model wind speed prediction model can describe the trend of the original wind speed series, but the values of the LSSVM prediction model are more close to the original wind speed data.
Improved Wind Speed Prediction Using Empirical Mode Decomposition
Then LSSVM was applied to train the identification model of the geometry properties.
The Feasibility Study for Multigeometries Identification of Uranium Components Using PCA-LSSVM Based on Correlation Measurements
Huang, "A novel spatiotemporal LSSVM method for complex distributed parameter systems with applications to curing thermal process," IEEE Transactions on Industrial Informatics, vol.
A Novel Covert Agent for Stealthy Attacks on Industrial Control Systems Using Least Squares Support Vector Regression
Moreover, it is only necessary to compute the dot product of nonlinear mapping functions during the model construction and prediction phase of LSSVM. The result of this dot product of nonlinear mapping functions is the kernel function K(.).
Classification of Asphalt Pavement Cracks Using Laplacian Pyramid-Based Image Processing and a Hybrid Computational Approach
Therefore, the regression model of LSSVM can be obtained as
Short-Term Traffic Flow Forecasting Method Based on LSSVM Model Optimized by GA-PSO Hybrid Algorithm
Li, "Prediction of the temperature in a Chinese solar greenhouse based on LSSVM optimized by improved PSO," Computers and Electronics in Agriculture, vol.
Application of Temperature Prediction Based on Neural Network in Intrusion Detection of IoT
There are a variety of methods for statistical downscaling [5], for example, the Delta Method (DM), Bias-Correction Method (BCM), Constructed Analogs Method (CAM), Localized Constructed Analogs Method (LOCA), Artificial Neural Networks (ANNs), Least Squares Support Vector Machines (LSSVM), nonparametric kernel regression (NKR) [8-10], and so forth.
Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog Method in Thailand
So far, researchers have come up with many methods to build the soft sensing model, such as neural networks [5], the support vector machines (SVM) [6], partial least squares [7], and least squares support vector machine (LSSVM) [8]; these methods are aimed at specific problem.
Reconstruct the Support Vectors to Improve LSSVM Sparseness for Mill Load Prediction
Chang, "Forecasting fossil fuel energy consumption for power generation using QHSA-based LSSVM model," Energies, vol.
Predictive Power of Machine Learning for Optimizing Solar Water Heater Performance: The Potential Application of High-Throughput Screening
Deng and Yeh [46] showed the use of LSSVM (LS, least squares) model in the cost prediction process.
Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM
[5] developed a prediction model based on the least square support vector machine (LSSVM) to detect the pullout capacity of small anchors; and they concluded that the LSSVM performs better than the ANN [5].
Predicting the Pullout Capacity of Small Ground Anchors Using Nonlinear Integrated Computing Techniques
Wind Power Grid Connected Capacity Prediction Using LSSVM Optimized by the Bat Algorithm.
Research on artificial intelligence evaluation model based on BP neural network
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