Professional MATLAB source code with comprehensive documentation and examples
PNN, also known as Probabilistic Neural Network, was initially proposed by mathematician Specht in 1990 and subsequently refined by researchers including Master [1995]. This network architecture has been successfully applied across multiple domains i
Implementation of CART Algorithm in Data Mining using MATLAB
Implementation of a closure transmission method function and a maximum spanning tree function designed for fuzzy clustering analysis in MATLAB, featuring graph-based algorithms and efficient data processing capabilities.
High-quality MATLAB implementation of wavelet-based artificial neural networks with robust signal processing integration
Genetic Algorithm Applied to Road Image Threshold Segmentation - Featuring a series of improvements to genetic operators that significantly enhance convergence performance.
A fundamental MATLAB implementation of the AdaBoost algorithm with detailed code structure and algorithm explanation
A comprehensive explanation of Lu Zhenbo's SVM MATLAB code that provides valuable insights into the code's functionality and implementation approach, including key algorithm components and classification procedures.
This paper introduces a novel methodology for addressing image visual clustering challenges. Unlike traditional approaches focusing on local features and continuity, our method extracts global image impressions by transforming image segmentation into
This program proposes a hybrid population-based algorithm that combines Particle Swarm Optimization (PSO) and Gravitational Search Algorithm (GSA), with the primary objective of enhancing the integration capabilities of PSO and GSA algorithms while i
Implementing genetic algorithms for function optimization with fast convergence and minimal local optima entrapment. This classic algorithm is beginner-friendly, featuring clear code structure with key components like population initialization, fitne
Implementation of Gaussian Process algorithms for regression and classification tasks, accompanying the book "Gaussian Process-Based Machine Learning." This distribution contains the latest v3.1 version updated on 2010-09-27, featuring enhanced kerne
MATLAB code for integral image calculation, featuring Haar-like feature extraction and an AdaBoost classifier learner. This implementation provides an excellent educational resource for understanding computer vision algorithms with practical code exa
TSP Search Algorithm Based on Hybrid Particle Swarm Optimization For detailed explanation and tutorials, please refer to the included materials. Due to file size limitations, contact me at 1066146635@qq.com for high-resolution tutorials.
Implementation of a fundamental bacterial foraging clustering program, tested on the IRIS dataset with parameter optimization analysis.
Applying genetic algorithms to optimize BP neural network training, including experimental data and code implementation details
Complete source code for Particle Swarm Optimization algorithm implemented in MATLAB, featuring optimization functions and parameter tuning - ideal for collaborative learning and knowledge exchange
MATLAB source code for pattern recognition applications, featuring high accuracy and user-friendly implementation with detailed algorithmic explanations.
Download supporting resources for neural network implementation with MATLAB 7 in .m file format
Utilizing an enhanced genetic algorithm to optimize fuzzy control membership functions, enabling automated parameter tuning for membership degrees through evolutionary computation techniques.
Annotated code implementation with comprehensive explanations, ideal for reference and learning purposes