MATLAB Implementation of Backpropagation Neural Network
Backpropagation Neural Network MATLAB Programming - A Simple yet Effective Approach with Practical Implementation Guidance
Radial Basis Function Neural Network (RBF) - MATLAB Implementation with Detailed Code Examples
Comprehensive MATLAB implementation of Radial Basis Function Neural Network (RBF), featuring detailed code explanations, practical applications, and algorithm breakdowns for effective learning and implementation.
Spherical k-Means Clustering Algorithm
The spherical k-means algorithm is an effective clustering technique that partitions datasets into spherical clusters, preserving data characteristics while grouping similar elements
Function Extremum Optimization Using Real-Coded Genetic Algorithm
MATLAB-based function extremum optimization program implementing real-coded genetic algorithms with comprehensive code documentation
MATLAB Implementation of Data Mining Algorithms - Classic C4.5 Algorithm Code
[Data Mining] MATLAB implementation of selected data mining algorithms featuring classical C4.5 decision tree code with comprehensive implementation details
Energy Function-Based Neural Network Path Planning
Energy function-based neural network path planning routine featuring simulated annealing optimization for robotic 3D path planning, with MATLAB implementation insights
Linear Regression Using Gradient Descent Algorithm
Implementation of linear regression using gradient descent method in MATLAB - a practical machine learning routine with code examples and algorithm explanation.
Foreign-Developed Implementation of Spectral Clustering Algorithm
A foreign-developed implementation of spectral clustering algorithm that offers fast execution speed and excellent performance, featuring optimized matrix operations and efficient eigenvalue decomposition techniques.
GA-BP Genetic Algorithm Optimized Backpropagation Neural Network
MATLAB implementation of genetic algorithm optimized backpropagation neural network with clear annotations, ensuring beginners can comprehend the code after understanding the underlying principles
Particle Swarm Optimization (PSO) - An Evolutionary Computation Technique
Particle Swarm Optimization (PSO) is an evolutionary computation technique co-invented by Dr. Eberhart and Dr. Kennedy. Inspired by studies of bird flock predation behavior, PSO is similar to Genetic Algorithms as an iteration-based optimization tool
Dynamic Sequential Classification with Sparse Feedback
This compressed file contains MATLAB implementation for the paper "Sequential Non-stationary Dynamic Classification with Sparse Feedback"
MATLAB Implementation of ICA for Feature Extraction in Pattern Recognition
MATLAB code for Independent Component Analysis (ICA) feature extraction in pattern recognition applications, including algorithm implementation and key function descriptions
Kernel Methods and SVM: Essential Techniques in Pattern Recognition
Kernel Methods and Support Vector Machines (SVM) represent fundamental approaches in pattern recognition, each forming a distinct discipline with robust theoretical foundations and practical implementations.
LIBSVM: A Simple MATLAB Interface for Support Vector Machine Implementation
LIBSVM is a straightforward MATLAB interface developed by researchers at National Taiwan University, designed for efficient SVM training and prediction operations with comprehensive parameter configuration and validation capabilities.
Implementation of Parzen Window Method, ISODATA Algorithm, and H-K (Ho-Kashyap) Algorithm in Pattern Recognition
This project provides implementations of three key pattern recognition algorithms (Parzen Window, ISODATA, and H-K/Ho-Kashyap) using MATLAB and VC++ programming languages, complete with algorithm explanations, code structure descriptions, and practic
MATLAB Implementation of Adaptive Genetic Algorithm
MATLAB-coded adaptive genetic algorithm featuring self-adjusting crossover and mutation probabilities based on fitness values, dynamically optimizing these parameters relative to optimal solutions
An Example of ICA Algorithm Implementation with Practical Data
A beginner-friendly ICA algorithm example using real-world data for blind source separation, featuring step-by-step code implementation and algorithm explanations.
Feature Selection with Relief Algorithm: Machine Learning, Data Mining, and Feature Weighting
Relief Algorithm for Feature Selection in Machine Learning and Data Mining with Feature Weighting Techniques
MATLAB Implementation of BP Neural Network Control
This MATLAB program implements BP neural network control, originally modified for my master's thesis application. The code is ready-to-run after downloading - simply copy and execute. For different control objects, users only need to modify the const
MATLAB Implementation of Particle Swarm Optimization (PSO) Algorithm
A comprehensive PSO program package consisting of three core files: DeJong.m (fitness function), get_psoOptions.m (configuration settings), and pso.m (main algorithm). Simply copy these files to your MATLAB work directory for immediate execution. Cus