A Neural Network Classifier Implementing Dempster-Shafer Evidence Theory
A neural network classifier based on Dempster-Shafer evidence theory, featuring uncertainty modeling and evidence combination mechanisms for robust pattern recognition.
Explore MATLAB source code curated for "Dempster-Shafer理论" with clean implementations, documentation, and examples.
A neural network classifier based on Dempster-Shafer evidence theory, featuring uncertainty modeling and evidence combination mechanisms for robust pattern recognition.
A comprehensive international MATLAB toolbox for Dempster-Shafer Theory (DST) implementation, providing authoritative algorithms for evidence combination, uncertainty modeling, and belief function computation with extensive simulation and visualization capabilities.