MATLAB Implementation of Interpolation Algorithms and Curve Fitting
Practical MATLAB programs for interpolation and curve fitting with detailed code implementation explanations
Explore MATLAB source code curated for "拟合" with clean implementations, documentation, and examples.
Practical MATLAB programs for interpolation and curve fitting with detailed code implementation explanations
Implementation of eye state identification using upper eyelid detection and fitting on the MATLAB platform
A robust MATLAB toolbox for Support Vector Machines featuring classification, regression fitting, and multiple auxiliary functions. Includes implementation of core SVM algorithms with parameter optimization support for machine learning research and applications.
A comprehensive MATLAB toolbox for Support Vector Machines featuring classification, regression fitting functionalities, and detailed implementation insights - perfect for academic research and practical applications!
This is a robust stock prediction program utilizing neural networks, featuring high accuracy, powerful predictive capabilities, and excellent curve-fitting performance for identifying market patterns
Using the least squares method to automatically detect and fit ellipses in images with excellent results, including implementation details for ellipse parameter estimation and error minimization.
This program implements multivariate nonlinear equation fitting through the least squares method, developed during my graduation thesis project. The implementation includes optimization algorithms and numerical computation techniques for practical data fitting applications.
Implement nonlinear fitting using a simple bivariate quadratic function with BP neural networks to approximate actual values. Ideal for beginners with MATLAB code implementation examples for training and prediction functions.
MATLAB source code for data distribution fitting and testing, featuring Chi-square Goodness-of-Fit Test, Jarque-Bera Test (jbtest), Kolmogorov-Smirnov Test, and frequency histogram plotting with implementation details.
MATLAB Two-Dimensional Fitting Function Expression Applied to lsqcurvefit(@myfun, a0, data, zdata) (Nonlinear Least Squares Fitting)