Least Squares Support Vector Machines Toolbox
A comprehensive toolbox for Least Squares Support Vector Machines, including executable SVM regression examples and detailed usage documentation with code implementation insights.
Optimized Least Squares Support Vector Machine Implementation
MATLAB implementation for optimized least squares support vector machines with ready-to-use functionality and comprehensive features.
Time Series Prediction Using Empirical Mode Decomposition and Least Squares Support Vector Machines
A functional MATLAB program that performs empirical mode decomposition on time series data and implements predictive modeling using least squares support vector machines (LS-SVM)
Coal Quantity Prediction Using Least Squares Support Vector Machines
A case study implementation demonstrating coal quantity prediction through Least Squares Support Vector Machines (LS-SVM) with regression analysis
Least Squares Support Vector Machine
A simple yet computationally intensive implementation of Least Squares Support Vector Machine with practical algorithmic explanations
Intelligent Particle Swarm Optimization for Parameter Tuning in Least Squares Support Vector Machines
Example Program Demonstrating LSSVM Parameter Optimization Using Particle Swarm Intelligence (LSSVM+PSO Implementation)
Least Squares Support Vector Machine (LS-SVM)
Least Squares Support Vector Machine for multivariate nonlinear regression analysis, nonlinear fitting and prediction with enhanced computational efficiency and simplified optimization.
MATLAB Toolkit for Least Squares Support Vector Machines
A comprehensive MATLAB toolkit for Least Squares Support Vector Machines (LS-SVM), featuring complete source code implementations and detailed usage documentation with algorithm explanations and parameter optimization guidelines.
Latest Least Squares Support Vector Machine Toolbox and User Manual
Latest Least Squares Support Vector Machine Toolbox with comprehensive user manual, featuring detailed explanations and practical implementation examples
Least Squares Support Vector Machine Implementation with MATLAB Functions
This implementation features LS_SVM.m as the main algorithm function, normalization.m for data preprocessing, and release.m for data post-processing. Each function utilizes matrix operations and optimization techniques for efficient computation.