Professional MATLAB source code with comprehensive documentation and examples
Image denoising through the integration of Contourlet transform, Independent Component Analysis (ICA), and chaotic particle swarm optimization algorithms for enhanced noise reduction and parameter optimization.
MATLAB neural network source code for digit recognition implementation, featuring comprehensive code annotations and detailed algorithm explanations.
This project presents a comparative simulation study between Backpropagation (BP) and Radial Basis Function (RBF) neural networks. The package contains four MATLAB scripts that demonstrate different aspects of both network architectures, including tr
Fuzzy Multi-Objective Particle Swarm Optimization Algorithm implemented in MATLAB environment, providing reference material for learners.
Deep-net is a deep learning architecture composed of Self-Encoder Algorithm (SEA) for feature extraction and a softmax classifier for categorization. SEA automatically captures the most significant features from input data, and when combined with sof
Utilizing Genetic Algorithms to Optimize Neural Network Weights and Thresholds with Code Implementation
Convolutional Neural Network Algorithm featuring an example implementation scalable to large datasets with code-specific architectural insights
2D Fast Marching Computations with Implementation Approaches for Efficient Image Segmentation
This project implements character recognition using neural networks, a classic pattern recognition application. The source code trains a Backpropagation (BP) neural network to recognize 26 English letters, demonstrating key implementation details inc
A PID controller optimized using neural networks, with performance validation through simulation studies and code implementation examples.
K-means clustering algorithm - implementation, key functions, and applications
Source code implementation for the ISODATA clustering experiment in pattern recognition curriculum
Implementation of SVM data classification and regression analysis using various kernel functions including RBF, sigmoid, and polynomial kernels with code integration
MATLAB implementation of chaotic particle swarm optimization for PID controller parameter tuning
k-means Outlier Removal Method: Primarily employs clustering mean approach to eliminate outliers from data, enhancing model prediction accuracy. This article provides MATLAB implementation code with cluster center analysis and distance-based outlier
MATLAB-based implementation of the Artificial Bee Colony algorithm for function optimization, providing reference code with detailed explanations of key algorithmic components.
MATLAB-based implementation simulating the adaptive clonal selection principle functionality in artificial immune systems, featuring algorithm optimization and performance analysis
fga.m serves as the main program for the genetic algorithm implementation, featuring binary Gray encoding, nonlinear ranking selection based on roulette wheel method, uniform crossover operations, mutation operations, and the inclusion of inversion o
A MATLAB implementation of the Backpropagation Neural Network algorithm using a single hidden layer architecture, including an example file that performs classification on a dataset of 20 samples.
A newly proposed swarm intelligence algorithm called Chicken Swarm Optimization (CSO), available for download and improvement with implementation-specific enhancements.