Optimizing Support Vector Machine Parameters Using Genetic Algorithms
A self-implemented program that utilizes genetic algorithms to optimize SVM parameters, featuring clear code structure and comprehensive documentation for easy understanding
Simulink Implementation of Rossler Hyperchaotic System
Simulink model for Rossler hyperchaotic system with customizable parameter modification capabilities
Optimizing Low-pass Digital Filter Parameters Using Standard Genetic Algorithm
Implementation of a standard genetic algorithm to optimize low-pass digital filter parameters through minimum mean square error method, achieving optimal transfer function coefficients with enhanced performance metrics.
Channel Simulation
A comprehensive channel simulation program that implements channel modeling under various parameter configurations, including indoor multipath environment simulation for ultra-wideband systems, featuring configurable path loss models, fading parameters, and delay profiles.
Simulation of Eight Typical Radar Emitter Signals
Simulation of eight typical radar emitter signals, including simulations with different parameters, suitable for radar signal analysis applications such as signal sorting and classification algorithms
Parameter Inversion Using Unconstrained Nonlinear Optimization Methods
MATLAB Implementation of Unconstrained Nonlinear Optimization Algorithm - Powell's Method Optimization Subroutine with Generalized Least Squares Algorithm Program
MATLAB Simulink Simulation Block Diagram for OFDM Systems
MATLAB Simulink simulation block diagram for OFDM systems with configurable parameters supporting various simulation scenarios.
Artificial Immune System
Algorithm Process: 1. Parameter Configuration Random generation of initial population - population = initpop(popsize, chromlength) Fault type encoding, each row represents: code(1,:) for normal; code(2,:) for 50%; code(3,:) for 1.5%. Actual fault measurement data encoding, referred to as Unnormalcode, 188% 4. Iteration Initialization (M): 1) Calculate objective function value: Euclidean distance [objvalue] = calobjvalue(population, i) 2) Calculate fitness value for each individual in population: fitvalue = calfitvalue(objvalue)
MATLAB Program for Online Automatic Tuning of Fuzzy Algorithm PID Controller Parameters
MATLAB program for online automatic tuning of fuzzy algorithm PID controller parameters with adaptive optimization capabilities
MATLAB Code Implementation for Edge Detection Algorithms
Experiment Content: Developing a universal edge extraction function that implements Sobel operator, Prewitt operator, Roberts operator, Marr operator, and Canny edge detection through different input parameters, with detailed algorithm explanations and code implementation approaches.