Genetic Algorithm Toolbox Developed by Shield University
Shield University's Genetic Algorithm Toolbox with Complete Operational Functions and Implementation Methods
LSSVM Source Code for Modeling and Prediction
This LSSVM source code provides an excellent toolkit for modeling and prediction tasks, featuring remarkable convenience, simplicity, and practical implementation with well-structured code organization
Probability Density Function Estimation Using Parzen Window Method in Pattern Recognition
This project demonstrates Parzen window method for probability density function estimation in pattern recognition. The complete program workflow includes: 1) Reading height/weight data from FAMALE.TXT into arrays, calculating sample size N1 and windo
BP Neural Network for Function Approximation
BP neural network for function approximation demonstrates excellent fitting performance, validated through multiple tests with implementation details.
The RBF Neural Network: A Three-Layer Feedforward Architecture with a Single Hidden Layer
The RBF (Radial Basis Function) neural network is a three-layer feedforward structure consisting of an input layer, a hidden layer, and an output layer. This code implementation focuses on constructing and training an RBF neural network model, featur
Neural Network ELM Algorithm
The ELM algorithm for neural networks demonstrates faster performance than traditional BP and SVM methods while maintaining high accuracy. Implemented in MATLAB, this version includes modifications to support diverse functions and automatically gener
Artificial Bee Colony Algorithm ABC Implementation
A comprehensive Python implementation of the ABC algorithm featuring employed bees, onlooker bees, and scout bees with optimization logic
Source Code for Neural Network PID Control and Fuzzy PID Control Systems
MATLAB-based implementations of neural network PID control and fuzzy PID control algorithms, featuring BP PID, CMAC PID, RBF PID, BP numerical approximation algorithms, BP predictive control, and fuzzy PID controllers with detailed code-level explana
RBF Neural Network Classifier with 4-Input Layer, 3-Hidden Layer, and 2-Output Layer Architecture
MATLAB implementation of a Radial Basis Function (RBF) neural network classifier featuring a 4-3-2 layer configuration, complete with training and testing datasets for performance evaluation
Optimal Parameter C Selection for Linear SVM Classifier
MATLAB source code implementation for selecting the optimal C parameter value in linear SVM classifiers, enhancing dataset training and prediction performance through systematic parameter optimization approaches.
An Example of Hyperspectral Image Analysis Using SAE Deep Learning Method
An implementation example of hyperspectral image analysis using Stacked Autoencoder (SAE) deep learning approach, featuring both SAE methodology and hyperspectral image feature extraction procedures with code-level implementation insights.
Four Common Particle Resampling Algorithms: Implementation and Performance Analysis
Comprehensive overview of four fundamental particle resampling algorithms with detailed performance comparisons, providing valuable implementation insights for researchers developing enhanced particle filter algorithms to significantly reduce develop
Vehicle Routing Optimization in Logistics Distribution Using Genetic Algorithms
Genetic algorithms are recognized as one of the effective methods for solving NP-hard problems. When applied to vehicle routing optimization in logistics distribution, the traditional genetic algorithm is enhanced by incorporating principles from imm
Particle Swarm Optimization for Feature Selection and SVM Parameter Tuning
Implementing feature selection and SVM parameter optimization using particle swarm optimization algorithm with code implementation insights
A Collection of Artificial Immune Algorithm Programs with MATLAB Implementations
This is a series of artificial immune algorithm programs I obtained from foreign websites through a friend, containing numerous algorithm source codes implemented in MATLAB, which are highly beneficial for research in this field.
Optimizing RBF Neural Network Architecture Using Genetic Algorithms
Utilizing genetic algorithms to optimize RBF neural network structures, including weight optimization and Gaussian basis function center/width tuning, with implementation insights for parameter encoding and fitness evaluation.
Wavelet Neural Network Algorithm
Algorithm 1 for Wavelet Neural Networks - Combining Wavelet Analysis with Neural Network Architecture
MATLAB Code Implementation for Numerical Integration
MATLAB numerical integration with multiple algorithm implementations - CombineTraprl (Composite Trapezoidal Rule), IntSimpson (Simpson's Family Formulas), NewtonCotes (Newton-Cotes Formulas), IntGauss (Gaussian Quadrature), IntGaussLada (Gauss-Radau
Least Squares Support Vector Machine Toolbox with Implementation Insights
A comprehensive Least Squares Support Vector Machine (LS-SVM) toolbox providing robust implementations for classification tasks with detailed algorithmic explanations and MATLAB code integration examples.
Maximum Signal-to-Noise Ratio Independent Component Analysis Algorithm
The Maximum Signal-to-Noise Ratio based ICA algorithm is highly valuable for blind signal separation applications, utilizing SNR optimization principles for effective component extraction