Medical Image Recognition Method
Medical image recognition method involving initial segmentation followed by classification using Backpropagation Neural Networks
Bayesian Classifier Based on EM Algorithm
MATLAB-implemented source code of a Bayesian classifier utilizing the Expectation-Maximization algorithm, designed for classification and pattern recognition tasks with practical applications
PSO-Optimized BP Neural Network for Classification
A program implementing Particle Swarm Optimization (PSO) to enhance Backpropagation Neural Networks for classification tasks. The implementation follows a two-phase approach: first using PSO to optimize initial weights and thresholds, then training the BP network with momentum and adaptive learning rate algorithms. The attached materials include dataset and modular functions for data extraction, target generation, baseline BP implementation, PSO optimization, and integrated PSO-BP training.
Relevance Vector Machine (RVM) Algorithm for Classification
The Relevance Vector Machine (RVM) algorithm for classification delivers excellent classification performance with probabilistic outputs and automatic relevance determination.
Pattern Recognition Implementation in MATLAB Using SVM Algorithm for Iris Data Classification
Pattern recognition and classification of iris dataset using Support Vector Machine (SVM) algorithm with MATLAB implementation details
Support Vector Machine Toolkit
Support Vector Machine toolkit compatible with MATLAB R2021a (formerly MATLAB 6.5), featuring comprehensive classification and regression capabilities with kernel function implementations and parameter optimization features.
ISODATA Algorithm for Unsupervised Clustering Implementation
Implementation of unsupervised clustering using the ISODATA algorithm with enhanced code-related descriptions
RBF Neural Networks for Classification and Regression Tasks
Implementation of Radial Basis Function Neural Networks for effective classification and regression, featuring optimized network architecture and training algorithms.
PCA+SVM Source Code Implementation with MATLAB
MATLAB source code implementing PCA for feature extraction and SVM for classification - Complete workflow with dimensionality reduction and machine learning algorithms
Fuzzy Neural Network Implementation for Function Approximation and Classification
Fuzzy neural network implementation for function approximation and classification with fuzzy rule extraction capabilities using adaptive learning algorithms