BP Neural Network Design Examples
Design examples of BP neural networks, where all cases have been tested and are ready to run immediately
Multi-Threshold Image Segmentation Based on Exponential Entropy, Logarithmic Entropy, and Tsallis Entropy Using Particle Swarm Optimization
Implementation of particle swarm optimization for multi-threshold image segmentation based on exponential entropy, logarithmic entropy, and Tsallis entropy, including non-optimized version for time performance comparison
Particle Swarm Optimization Algorithm
Introduction to Particle Swarm Optimization Algorithm - a simple yet efficient optimization method with fast convergence. This MATLAB implementation provides a 2D visualization to demonstrate PSO's search mechanism and core parameters including veloc
Power Amplifier Nonlinear Characteristics and Predistortion Modeling Program
This program for the 2013 Mathematical Modeling Contest Problem B features ready-to-run implementations including Taylor series models, polynomial models, and neural network approaches for analyzing power amplifier nonlinearity and predistortion tech
Highly Practical Multi-Objective Particle Swarm Optimization Algorithm
This practical multi-objective particle swarm optimization algorithm is ideal for beginners in multi-objective optimization, featuring clear implementation examples and parameter configuration guidelines
Enhanced Version of LibSVM Toolbox
Enhanced version of Professor Chih-Jen Lin's LibSVM toolbox from National Taiwan University, integrated with automatic parameter selection algorithms for improved usability and performance.
MATLAB Code for Calculating KL Divergence in Data Mining Applications
Implementation of KL divergence computation in MATLAB environment for measuring probability distribution differences in data mining tasks
Dominant-Set Clustering Algorithm
Dominant-set clustering algorithm, primarily used for image segmentation, content-based image retrieval, and similar computer vision tasks.
Classic Decision Tree Algorithm
Classic decision tree algorithms, with ID3 being the most widely used. ID3 represents the most fundamental approach in decision tree methodology, implementing information entropy-based feature selection for optimal splits.
Particle Swarm Vector Quantization Algorithm for Generating Optimal Codebooks in Image Vector Quantization
Implementation of particle swarm vector quantization algorithm to generate optimal codebooks for image vector quantization, allowing customizable population size and iteration numbers. The program outputs optimal codebooks and mean quantization error
Deep Learning MATLAB Toolkit
Deep learning MATLAB toolkit with comprehensive functionality for neural network implementation and training workflows.
CART Data Mining Decision Tree Algorithm Implementation in MATLAB
Implementation of CART data mining decision tree algorithm using MATLAB with complete code structure and algorithm explanations
Optimization of Cascade Reservoir Operation Using Artificial Fish Swarm Algorithm
Solving cascade reservoir optimization scheduling with artificial fish swarm algorithm – optimization calculations can be performed by simply modifying corresponding constraint conditions through adaptable parameter configurations.
Harris Corner Detection Algorithm
Harris Corner Detection - An Image Processing Algorithm for Feature Point Identification
Training Code for DBN Networks in Deep Learning Domain
Verified training code for Deep Belief Networks (DBN) in deep learning, specifically designed for MATLAB simulations with implementation-ready functionality
Classic Ncut Algorithm in Spectral Clustering
This program implements the classical Ncut algorithm for spectral clustering using MATLAB. The solution includes graph construction, eigenvalue decomposition, and k-means clustering steps with implementation details.
Optimized Electric Vehicle Charging Scheduling Using CPLEX in MATLAB to Minimize Peak-Valley Difference
Implementation of coordinated electric vehicle charging in MATLAB environment using CPLEX programming framework, focusing on peak-to-valley difference minimization algorithm with optimization constraints.
Mean Shift Algorithm for Image Edge Extraction and Image Segmentation
Implementation of Mean Shift Algorithm for Image Edge Detection and Segmentation with Code Examples
Genetic Algorithm-Based LQR Controller Optimization Design in MATLAB
MATLAB source code for LQR controller optimization using genetic algorithms - an excellent example for learning MATLAB algorithm design with comprehensive implementation details including fitness function evaluation, population management, and conver
30 Neural Network Case Studies with MATLAB Implementation
This collection presents 30 practical neural network case studies with complete MATLAB source code, featuring diverse implementations including backpropagation algorithms, data preprocessing techniques, and network architecture configurations for rea