Discrete Genetic Algorithm for Combinatorial Optimization Problems
Implementation of Discrete Genetic Algorithm for Solving Combinatorial Optimization Problems with Code Examples
Professional MATLAB source code with comprehensive documentation and examples
Implementation of Discrete Genetic Algorithm for Solving Combinatorial Optimization Problems with Code Examples
This GPS satellite simulation program, developed by a skilled American programmer, provides valuable assistance for GPS professionals and researchers working with satellite navigation systems.
Machine Learning Model Implementation for Evaluating Business Repayment Capability Using Logistic Regression Algorithm
Robust Controller Design Using RBF Networks - This approach leverages Radial Basis Function (RBF) networks to approximate arbitrary nonlinear relationships. The objective is to minimize the sum of squared errors, aligning with nonlinear Principal Com
Implementation and Analysis of Lyapunov Exponent Calculation for Hyperchaotic Rossler Systems
RankBoost algorithm implementation featuring DLL files and MATLAB code for ranking applications in information retrieval and machine learning systems.
MATLAB implementation for analyzing chaotic phenomena in nonlinear circuits with detailed code descriptions
This program implements the Lagrange interpolation algorithm and demonstrates its correctness through a practical example with code illustration.
An optimized algorithm for minimum connected dominating set using minimum spanning tree approach
Implementation of real-valued Noiselet transform serving as measurement matrix in compressed sensing applications for image processing
Implementation of nonlinear feedback synchronization for Liu and Lv chaotic systems, with simulation reference to the literature "A Nonlinear Feedback Method for Achieving Chaotic Synchronization"
Inertial navigation transfer alignment procedure, featuring velocity-plus-attitude alignment with sensor calibration algorithms
This second incremental PCA algorithm enables extraction of principal components from high-dimensional data through incremental updates, featuring efficient covariance matrix maintenance through streaming data processing techniques.
Adaptive Active Noise Control FLMS Algorithm Simulation Program, including main simulation modules with MATLAB/Python implementation and visualization of final results
A maneuvering target model is proposed with three motion phases: initial uniform linear motion, uniform circular motion, and return to uniform linear motion, while maintaining constant linear velocity v. The Extended Kalman Filter (EKF) algorithm is
Kalman filters are extensively utilized in modern control systems. This implementation demonstrates the application of Kalman filtering theory for tracking and predicting uniformly moving objects, enabling comparative analysis between theoretical pre
Implementation of second-order polynomial estimation for response surfaces via least squares method, featuring high algorithm accuracy with flexible 3D data substitution capabilities and detailed code implementation insights
Implementation of mutual information method for calculating time delay in chaotic equations analysis using MATLAB with comprehensive code descriptions
Implementation of online dictionary learning algorithms for processing high-dimensional feature data, with comprehensive code examples and optimization techniques.
Implementation and comparison of DOA estimation techniques for wideband signal sources using conventional beamforming and MUSIC algorithms, including code-level implementation details.