BP Neural Network Model Implementation in MATLAB
A fully functional BP neural network model developed in MATLAB, thoroughly debugged and running smoothly, featuring robust implementation for pattern recognition and predictive analytics.
Explore MATLAB source code curated for "调试" with clean implementations, documentation, and examples.
A fully functional BP neural network model developed in MATLAB, thoroughly debugged and running smoothly, featuring robust implementation for pattern recognition and predictive analytics.
Hamming-weighted antenna pattern implementation using MATLAB, which has been thoroughly tested and is highly valuable for researchers studying radar antenna systems.
A practical example demonstrating how Dynamic Matrix Control (DMC) achieves desired target values for known requirements in information fusion applications. All programs have been thoroughly debugged and validated. This example includes implementation details about DMC's predictive control algorithm, step response modeling, and optimization calculations.
A MATLAB program for Gaussian smoothing with customizable parameters. This implementation allows you to adjust filter parameters and optimize results through proper debugging and parameter tuning.
A meticulously developed CCA implementation that achieves identical experimental results to standard CCA algorithms. The code features enhanced readability through modular function design, comprehensive commenting, and follows MATLAB best practices for variable naming and code organization.
A verified and fully functional three-level asynchronous motor control program with comprehensive algorithm implementation details
BUCK-Type DC-DC Converter: Analysis of Key Design Considerations and Code-Implemented Control Strategies