Artificial Immune System Toolbox for MATLAB
A comprehensive toolbox for artificial immune systems, specifically designed for implementation and research in MATLAB environment.
Explore MATLAB source code curated for "工具箱" with clean implementations, documentation, and examples.
A comprehensive toolbox for artificial immune systems, specifically designed for implementation and research in MATLAB environment.
Genetic Algorithm Toolbox // Highly practical and efficient for optimization tasks
MATLAB is a high-efficiency advanced programming language designed for scientific and engineering computations. Its fundamental data unit is the matrix, and its extensive toolbox ecosystem covers numerous fields in scientific research and engineering applications. It demonstrates unparalleled advantages over general-purpose languages in areas including numerical computation, digital signal processing, system identification, automatic control, vibration theory, time series analysis and modeling, optimization design, neural network control, dynamic simulation systems, financial management, wavelet analysis, special functions, and graphics. The language can be conveniently applied to nearly all aspects of scientific and engineering calculations through its built-in functions and matrix-based operations.
This toolbox enables development of software-defined radio (SDR) based GPS receivers with cross-platform compatibility and pre-built signal processing functions.
Performing regression on multidimensional pyrim data using Least Squares Support Vector Machines (LS-SVM), requiring download of the LS-SVM toolbox for MATLAB/Python implementation.
A highly effective toolbox utilizing genetic algorithms to optimize neural network weights, addressing global convergence issues and delivering rapid training performance
MATLAB Image Fusion Toolbox: Implementation of Multi-Source Sensor Image Fusion with Advanced Algorithms
This is primarily a toolbox for the Empirical Mode Decomposition (EMD) process within the Hilbert-Huang Transform (HHT) framework. Once imported into MATLAB's toolbox directory, it becomes immediately operational for signal processing applications.
This MATLAB toolbox provides comprehensive support vector machine (SVM) functionality for pattern classification, pattern recognition, and machine learning applications, featuring customizable kernel functions and optimization algorithms for robust model training.
Introduction to the usage and various modules of MATLAB Neural Network Toolbox, hopefully useful for everyone. Includes practical code implementation insights and key function descriptions.