Professional MATLAB source code with comprehensive documentation and examples
Optimizes dual-variable functions where multi_run serves as the main function and multi_fun acts as the fitness function. Parameter descriptions are available in comments, with additional performance tuning through parameter adjustments.
Complete MATLAB implementation of Bidirectional Associative Memory (BAM) neural network with pattern association and recall capabilities
Implementation of feature selection techniques for SVR machine learning algorithms, featuring one filter-based method (CFS Correlation-based Feature Selection) and two wrapper methods (Genetic Algorithm GA and Particle Swarm Optimization PSO). The gr
This MATLAB routine implements a real-coded genetic algorithm featuring elite preservation strategy selection combined with roulette wheel selection, and employs intermediate recombination for crossover operations to enhance optimization performance.
Implementation of Levenberg-Marquardt optimization for training Takagi-Sugeno fuzzy systems, combining gradient descent and Gauss-Newton methods for nonlinear least squares problems with code-level parameter tuning strategies
Implementation of Infinite Hidden Markov Model (IHMM) sampling and inference algorithms for pattern recognition and video anomaly detection, developed on MATLAB 2009 platform featuring state transition sampling, observation emission modeling, and for
Extreme Learning Machine Outperforms SVM in Speed with 4 Practical Implementation Examples
MATLAB implementation codes for various optimization algorithms including: Feasible Point Labeling for Optimal Matching algorithm, Minimum Cost Maximum Flow algorithm, Hungarian algorithm, Genetic Algorithm for TSP problem, and Genetic Algorithm for
A MATLAB implementation of online SVM incremental learning leveraging the built-in SVMTrain function for model training with support for continuous parameter updates.
MATLAB implementation of Apriori algorithm for association rule mining with automatic rule generation, support calculation, and confidence measurement capabilities
MATLAB implementation of weighted support vector machine classification algorithm that effectively reduces feature dimensionality, includes sample datasets, requires CVX optimization toolbox for direct execution.
Implementation of PSO-Optimized Text Clustering Algorithm in MATLAB with Code Examples and Performance Analysis
Comprehensive MATLAB programs for Support Vector Machine algorithms featuring: (1) Main_SVC_C.m - C-SVC multi-class classification with soft margin optimization, (2) Main_SVC_Nu.m - Nu-SVC binary classification using nu parameter control, (3) Main_SV
Source Code for 30 Intelligent Algorithm Case Studies in MATLAB
A Markov Chain Monte Carlo implementation of Differential Evolution genetic algorithm: enabling efficient Bayesian computation in real parameter spaces with population-based sampling and adaptive proposal mechanisms
This program implements classification for two-dimensional three-class samples with decision boundary plotting functionality. Essential for pattern recognition learners and neural network enthusiasts. Features straightforward MATLAB code implementati
A comprehensive MATLAB codebase implementing backpropagation neural network training with configurable layers, activation functions, and optimization parameters
Genetic algorithm optimization applications in MATLAB for optimal control problems including target allocation, radar target recognition, and image segmentation
A wavelet neural network based on BP learning algorithm, featuring frame wavelet activation functions in the hidden layer, Sigmoid activation in the output layer, and entropy error function for accelerated network convergence.
This project implements Elman neural network-based load forecasting for power systems, providing source data and ensuring proper program execution with satisfactory prediction results. Key features include dynamic memory implementation through recurr