Explore MATLAB source code curated for "源代码" with clean implementations, documentation, and examples.
A complete BP neural network training source code implementation that manually codes the algorithm instead of using MATLAB's built-in training functions, providing deeper understanding of backpropagation mechanics and weight update processes.
Effective MATLAB source code for SVM classifier implementation with detailed technical explanations and machine learning applications
A valuable resource compiled by computational intelligence professors from Peking University's Computational Intelligence Laboratory, featuring complete PSO algorithm source code with detailed comments, supporting PPT documentation, and fifteen standard benchmark test functions for performance evaluation
Edge detection source code implemented in MATLAB using the Canny algorithm. The template can be easily modified to adapt other detection algorithms, providing flexibility for different edge detection approaches.
This project provides source code and MATLAB examples for implementing one-dimensional DCST, featuring algorithm explanations and practical implementation approaches.
Source code for neural network predictive control program implementing Radial Basis Function (RBF) neural networks
This project provides source code and examples for four clustering algorithms, aiming to develop a standardized and extensible toolkit for clustering tasks. The implementation includes: 1. Clustering algorithms: K-means, K-medoids, FCMclust, GKclust, and GGclust 2. Cluster visualization: 2D plotting capabilities for displaying clustering results 3. Validation metrics: Comprehensive evaluation mechanisms calculating Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni's Index (XB), Dunn's Index (DI), and Alternative Dunn Index (DII)
A robust source code for identifying and tracking moving cells in electron microscopy, developed by a professor at Harvard Medical School. This implementation provides valuable insights for researchers working on object motion recognition and estimation, featuring advanced computer vision algorithms for cellular analysis.
MATLAB source code for the InSAR (Interferometric Synthetic Aperture Radar) image processing component developed by Delft University of Technology, featuring phase unwrapping algorithms and coherence calculation functions
High-quality K-L (Karhunen-Loève) transform face recognition source code with comprehensive template matching library for efficient and accurate facial identification