MATLAB Implementation of Radial Basis Function
A simple and user-friendly MATLAB code implementation of radial basis function, featuring core interpolation algorithms and practical application examples
Explore MATLAB source code curated for "matlab代码" with clean implementations, documentation, and examples.
A simple and user-friendly MATLAB code implementation of radial basis function, featuring core interpolation algorithms and practical application examples
MATLAB implementations of two fuzzy enhancement and fuzzy contrast enhancement algorithms accompanied by 4 relevant references.
MATLAB code for Latent Dirichlet Allocation (LDA) enabling semantic topic distribution estimation, accompanied by comprehensive documentation. Features straightforward implementation with Gibbs sampling algorithm and effective performance for text analysis tasks.
MATLAB source code for cellular automata simulation featuring state evolution rules: 1) A cell with state 0 transitions to state 1 with probability a×b when it has neighboring cells in state 1, where transition probability increases with more state-1 neighbors; 2) A cell with state 1 maintains its state unchanged. Simulation uses a 50×50 grid with initial propagator at center cell (25×25), Moore neighborhood configuration, and runs for 50 time steps to generate knowledge propagation visualization.
Version 3.1 of the MATLAB Power System Toolbox featuring comprehensive power system analysis capabilities, simulation tools, and accompanied by Chinese language documentation
MATLAB code implementation with dataset specifications - This implementation follows the Naive Bayes principle for text classification using numerical encoding for categorical data, featuring training-test split configuration and probability calculation methodology.
Satellite orbit calculation program featuring real-world measurement data and comprehensive documentation with algorithm explanations
MATLAB-based stochastic process simulation implementations including Poisson processes, exponential distributions, Gaussian distributions with detailed algorithm descriptions and code examples
A practical robust controller design program with comprehensive implementation example, featuring step-by-step code explanations and algorithm descriptions suitable for beginners in control systems engineering.
MATLAB implementation for estimating GARCH(1,1) model parameters using Maximum Likelihood Estimation (MLE). Includes simulation-based validation testing for Type I and Type II errors (size and power tests) to ensure correct model specification and statistical reliability.