Explore MATLAB source code curated for "实验结果" with clean implementations, documentation, and examples.
This program originated from graduate thesis research experiments and applies advanced control algorithms to achieve stable control of a linear double inverted pendulum, demonstrating excellent control performance through systematic testing.
This program implements character recognition using Linear Discriminant Analysis (LDA) method, achieving high recognition accuracy with multiple experimental results provided.
This implementation includes two core modules (PCA and LDA) that perform principal component analysis for dimensionality reduction followed by linear discriminant analysis for classification, achieving excellent experimental results in face recognition applications.
One of the artificial neural network experiments that implements Hopfield network to solve the Traveling Salesman Problem. The package includes complete documentation covering algorithm theory, problem formulation, experimental results, and analysis, along with source code implementation featuring energy function minimization and convergence validation.
A Gaussian noise filtering program based on pulse-coupled neural networks, complete with source code implementation and experimental results demonstrating noise reduction performance
Content-Based Image Retrieval technology with MATLAB implementations for color and texture feature extraction, including experimental results
An implementation of color image segmentation algorithm using Pulse-Coupled Neural Networks (PCNN) with detailed experimental results and performance analysis
An experimental demonstration of P_M regularized image filtering, including implementation code, experimental results, and detailed technical report
This article introduces a license plate recognition algorithm based on Backpropagation Neural Network, presenting experimental results with implementation details including network architecture and image processing techniques.
This high-quality color image segmentation source code delivers excellent experimental results, featuring robust algorithm implementations with detailed explanations of key functions and segmentation methodologies.