Hopfield Neural Network Associative Memory - Digital Number Recognition
Associative Memory Implementation Using Hopfield Neural Network for Digital Number Recognition with Code Implementation Insights
Professional MATLAB source code with comprehensive documentation and examples
Associative Memory Implementation Using Hopfield Neural Network for Digital Number Recognition with Code Implementation Insights
Comprehensive overview of the ten most influential pattern recognition algorithms with detailed implementation processes, carefully compiled and presented with technical insights
This improved algorithm effectively resolves convergence issues and achieves exceptional clustering performance (as demonstrated in the attached result images). The enhanced ant colony algorithm builds upon genetic algorithm foundations by incorporat
This is the MATLAB source code for function optimization from the book "Artificial Bee Colony Algorithm and Its Applications," featuring concise and easily understandable code implementation.
Implementation of object recognition in remote sensing images through fuzzy neural networks with code integration and algorithmic enhancements
This program implements image enhancement through an adaptive genetic algorithm, with core concepts derived from a research paper published in the "Chinese Journal of Computers". The implementation includes population initialization, fitness evaluati
This approach utilizes the Fuzzy C-Means (FCM) clustering algorithm to partition data vectors into three distinct clusters, with center parameters representing the calculated cluster centroids. The FCM method employs soft clustering where each data p
Implementation program for wavelet neural networks with computational coding based on MATLAB operations, including algorithm explanations and key function descriptions
An offline prediction system for a wind farm in Zhangjiakou, with the core algorithm based on neural networks, involving data preprocessing, model training, and prediction workflows.
MATLAB implementation of genetic algorithm-based image segmentation techniques including maximum entropy single threshold, maximum entropy double threshold, 2D maximum entropy single threshold, and maximum between-class variance (Otsu) methods with g
MATLAB Program for Bayesian Classifier - Machine Learning Algorithm Implementation with Statistical Modeling and Classification Capabilities
This MATLAB implementation applies Ant Colony Optimization (ACO) to solve continuous function optimization problems, featuring a grid-strategy approach based on Duan Haibin's "Ant Colony Algorithm: Principles and Applications".
A comprehensive pattern recognition assignment covering linear classifiers, minimum risk Bayesian classifiers, supervised learning hierarchical clustering analysis, K-L transform for feature extraction, and support vector machines with implementation
A comprehensive and accurate function extremum optimization program based on real-coded genetic algorithm
Comprehensive SVM toolbox featuring complete functionality sets, demonstration programs with code examples, and detailed documentation covering algorithm implementations
MATLAB code implementation for QoS multicast routing using ant colony optimization algorithm in wireless sensor networks - Features mesh network topology support with detailed parameter configuration and path optimization techniques
Backpropagation neural network algorithm program with function approximation simulation, containing detailed annotations and implementation explanations suitable for beginners.
Pattern recognition classification implemented using C-means clustering algorithm, Ho-Kashyap (HK) algorithm, and perceptron algorithm with code implementation details
% RBF Neural Network for Function Fitting % Development Platform - MATLAB 6.5
A multi-agent toolkit designed for direct implementation and simulation of multi-agent reinforcement learning algorithms, featuring ready-to-use APIs and modular components