Simple GASVM for LS-SVM Implementation
Implementation of a simplified Generalized Approximate Support Vector Machine (GASVM) algorithm for Least Squares Support Vector Machines (LS-SVM)
LS-SVM for Time Series Prediction with Implementation Guide
Implementation of LS-SVM (Least Squares Support Vector Machine) for time series forecasting with fully debugged code. The package includes sample datasets and modular code structure covering data loading, normalization, model initialization, cross-validation, training, regression prediction, and denormalization processes. Each module contains detailed comments and supports custom dataset integration.
Least Squares Support Vector Machine (LS-SVM) Template
Template for implementing Least Squares Support Vector Machine (LS-SVM) with code structure guidance