Professional MATLAB source code with comprehensive documentation and examples
Implementation of classification using a Backpropagation Neural Network with Iris dataset, including training process and classification results. Contains comprehensive code annotations and algorithm explanations.
Source code for Backpropagation Neural Network implemented using MATLAB .M files, featuring detailed algorithm implementation with network initialization, forward propagation, error calculation, and weight updates through gradient descent.
Support Vector Machine (SVM) is a generalized linear classifier that performs binary classification using supervised learning, with its decision boundary defined by the maximum-margin hyperplane derived from training samples. This implementation appl
MATLAB implementation of simulated annealing algorithm for solving the traveling salesman problem with detailed code optimization strategies
This software package comprises four programs designed primarily for image processing (image denoising and segmentation) and implementing simulated annealing algorithms, providing robust solutions for optimization challenges.
Backpropagation Neural Network for Handwritten Digit Recognition with Support for Digits 0-99
Introduction to the feedback linearization control process utilizing neural networks. Feedback linearization employs control feedback mechanisms to eliminate nonlinearities within a system, resulting in linear dynamics for the closed-loop system. Thi
Functional dynamic fuzzy neural network implementation with comprehensive codebase, based on Wu Shiqian's "Dynamic Fuzzy Neural Networks" reference book. Includes algorithm implementations for fuzzy rule generation, parameter adaptation, and neural s
The PID control system tuned using RBF neural networks employs a three-layer feedforward network with a single hidden layer. This network structure demonstrates local approximation capabilities and has been proven to approximate arbitrary continuous
Preprocessing for feature ordering before feature extraction, performing feature ranking on m*n column data, with implementations including correlation analysis, variance thresholding, and mutual information scoring algorithms for optimal feature sel
Artificial Immune System toolbox for MATLAB with comprehensive immune algorithm implementations
This resource provides the complete source code for a weighted differential evolution algorithm, demonstrating its application across various optimization problems with detailed implementation insights.
A comprehensive SVM package for MATLAB with wide-ranging applications in data mining, pattern recognition, and AI, featuring robust implementations for classification and regression tasks.
MATLAB source code featuring: 1. Complete implementation of BP neural network and ELM training/learning processes 2. Data extraction code for eye open/close state detection from images 3. Comprehensive image dataset for eye state classification valid
A well-designed MATLAB program implementing immune genetic algorithm for optimization problems, with comprehensive code explanations and algorithm insights
Ant Colony Optimization Algorithm for Dynamic Path Planning
A practical and well-structured MATLAB implementation of the simulated annealing algorithm featuring flexible parameter configuration, customizable objective functions, and visualization capabilities for optimization problems
Implementing a genetic algorithm to solve the one-dimensional cutting stock problem, returning total material usage and cutting patterns with enhanced code implementation details.
Implementation and computational procedure of Backpropagation Neural Network with code-level insights
Applying Hopfield neural networks to perform association and recognition on noisy digital image patterns "1, 2, 3, 4" to eliminate noise interference, with implementation insights on pattern storage and energy minimization algorithms.