MATLAB Implementation for Training RBF Neural Network Using Data Center Clustering Method
This source code implements RBF network training in MATLAB using a data center clustering approach, without relying on MATLAB's built-in training functions
Professional MATLAB source code with comprehensive documentation and examples
This source code implements RBF network training in MATLAB using a data center clustering approach, without relying on MATLAB's built-in training functions
Comprehensive MATLAB toolbox for Particle Swarm Optimization (PSO) featuring detailed usage documentation and implementation guidelines
A program for inverted pendulum control using genetic algorithm and BP neural network, implementing GA optimization of neural network weights and thresholds to achieve enhanced control performance
A MATLAB implementation of genetic algorithm using real-valued encoding for solving optimization problems.
A face detection system implementing Gabor feature extraction and neural network classification for robust facial recognition in images and video streams
Implementation of fuzzy neural network code for adaptive control systems, featuring error and error derivative as critical input parameters.
This implementation features a simulation of direct torque control for induction motors on two-level inverters, incorporating an enhanced DSVM algorithm with detailed performance analysis through MATLAB/Simulink modeling.
Source code implementation of a hybrid particle swarm cultural algorithm designed for solving function optimization problems, combining swarm intelligence with cultural evolution mechanisms.
Adaptive Particle Swarm Optimization MATLAB code, highly efficient and practical for optimization problems.
Nonlinear Function Fitting with Hybrid Optimization Algorithm Implementation
A complete PSO algorithm process executing n-loop iterations, returning minimum/maximum average fitness values, online performance, and offline performance metrics. The implementation handles particle initialization, velocity/position updates, and fi
Comprehensive machine learning source code authored by Zhejiang University professors Cai Deng and He Xiaofei, covering spectral regression, dimensionality reduction, feature selection, topic modeling, matrix factorization, sparse coding, hashing tec
RBF-based neural network prediction program package (compressed archive), no extraction password required! Includes complete code implementation with radial basis function architecture.
Joachims' SVM-light toolkit includes two executable files (svm_classify.exe and svm_learn.exe) for implementing Transductive SVM, with Anton's MATLAB interface providing enhanced usability and convenience for SVM-light operations.
Matrix composition operations, data standardization techniques for fuzzy clustering analysis, establishment of fuzzy similarity matrices, and comprehensive fuzzy clustering methodologies. Download available resources with practical code implementatio
Sheffield Genetic Algorithm Toolbox for Evolutionary Computation
This PSO algorithm implementation provides an iterative optimization tool that initializes with random solutions and searches for optimal values through population-based iterations, featuring parameter configuration for swarm size, velocity updates,
Implementing PSO-based SVM optimization with grouped training methodology to enhance algorithmic efficiency
Genetic Algorithm Path Planning MATLAB Source Code with Grid-based Environment Modeling Method
Neural network algorithm utilizing the Levenberg-Marquardt optimization method - recognized as the fastest neural network training algorithm with high memory requirements.