Image Segmentation using Fuzzy C-Means (FCM) Clustering Implementation
Implementation of image segmentation through fuzzy c-means (FCM) clustering with detailed algorithm workflow and code integration insights.
Linearized Approach for Manifold Learning Algorithm LTSA with Code Implementation Insights
The linearized method for the manifold learning algorithm LTSA (Local Tangent Space Alignment) is applied in gene classification and clustering, enabling linear projection of new samples into low-dimensional space. Implementation typically involves c
MATLAB Genetic Algorithm Toolbox for TSP Problem Solving
MATLAB Genetic Algorithm Toolbox implementation for solving the Traveling Salesman Problem (TSP), featuring efficient optimization code with population evolution, crossover, and mutation operations.
Enhanced Neural Network for Electricity Price Forecasting
Improved neural network approach for electricity price prediction with comprehensive case study, complete dataset, and fully implemented code examples.
PID Neural Network Decoupling Control Algorithm
This implementation demonstrates a PID neural network controller for multi-variable coupled systems in MATLAB. The controller architecture comprises three single neuron controllers working in coordination. Due to space constraints, we present the cod
Optimal DG Placement using Particle Swarm Optimization Algorithm
Implementation of distributed generation placement through PSO optimization with power system constraints
Compressed Archive Contains Source Code and Examples for Four Clustering Algorithms
This archive includes source code implementations and sample demonstrations for four distinct clustering algorithms, provided for learning and practical application purposes
Genetic Algorithm-Based Cerebellar Model Controller Simulation for Permanent Magnet Brushless DC Motor Mathematical Model
Simulation of a mathematical model for permanent magnet brushless DC motors using a cerebellar model controller optimized with genetic algorithms. Includes complete MATLAB/Simulink code implementation and simulation models with detailed parameter con
Multidirectional Search Optimization Algorithm
Implementation of multidirectional search strategy for optimization problems, featuring parallel search directions and pattern moves
Fisher Linear Discriminant Classifier Source Code
Complete source code implementation of Fisher Linear Discriminant classifier, including training function for model parameter estimation and testing function for classification performance evaluation.
Face Recognition Method Based on Gabor Wavelet Transform and Artificial Neural Network with MATLAB Implementation
A MATLAB-implemented face recognition approach combining Gabor wavelet transform for feature extraction and artificial neural networks for pattern classification, including complete code implementation and algorithmic details.
Multi-Objective Particle Swarm Optimization for Distributed Generation Siting
Implementation of optimal objectives using multi-objective particle swarm algorithm for distributed generation location optimization
Genetic Algorithm Program
This genetic algorithm program is a simulation implemented in the MATLAB environment, compatible with all versions and suitable for optimization problem-solving.
Wavelet Packet Decomposition and BP Neural Network Training with Pattern Recognition Applications
Comprehensive implementation of wavelet packet decomposition and backpropagation neural network training algorithms for pattern recognition and signal analysis, featuring multi-scale feature extraction and deep learning capabilities.
Source Code for Mutual Information-Based Image Registration
Source code implementation for mutual information-based image registration with Particle Swarm Optimization (PSO) algorithm
Genetic Algorithm for Path Planning with MATLAB Implementation
MATLAB source code for genetic algorithm-based path planning, containing multiple sub-files - execute the main mypath.m file for testing and demonstration
A Binary Version of Particle Swarm Optimization (PSO)
This implementation provides a binary version of the PSO algorithm, serving as a template program for various applications of binary PSO with enhanced code structure and parameter configuration options.
Locality Preserving Projections (LPP) for Nonlinear Dimensionality Reduction
Locality Preserving Projections (LPP) as a nonlinear dimensionality reduction method can be effectively applied to machine learning with high-dimensional datasets using graph-based neighborhood preservation techniques.
Three Genetic Algorithm Operators with Enhanced Implementation Approaches
Three core genetic algorithm operators - selection, crossover, and mutation - with detailed code implementation descriptions and algorithmic enhancements.
MATLAB Implementation of Multi-Objective Genetic Algorithm
Multi-Objective Genetic Algorithm Implementation, Optimization for Multiple Objectives, Pareto Front Solutions