Artificial Neural Network Design Example
A practical artificial neural network design implementation example that has been verified to produce correct results, including discussions on network architecture parameters and optimization algorithms.
Solving Traveling Salesman Problem Using Hopfield Network
One of the artificial neural network experiments that implements Hopfield network to solve the Traveling Salesman Problem. The package includes complete documentation covering algorithm theory, problem formulation, experimental results, and analysis, along with source code implementation featuring energy function minimization and convergence validation.
Image Compression Using Artificial Neural Networks
Image Compression with Artificial Neural Networks - MATLAB Implementation. This codebase, developed in MATLAB 6.5, provides a complete Windows-compatible solution for neural network-based image compression. The package includes all necessary files with Train.m handling network training through backpropagation algorithms and Codec.m performing image compression/decompression using the trained network weights.
Face Recognition Using Artificial Neural Networks with Technical Implementation Insights
Implementing Face Recognition Systems with Artificial Neural Networks: Architecture Design and Algorithmic Approaches
Speech Recognition Using Artificial Neural Networks
Speech recognition system based on artificial neural networks (ANN) that combines LPC parameters extracted from speech signals with neural network classification, implemented and optimized using MATLAB
Radial Basis Function Neural Network Program (Clustering Algorithm)
Radial Basis Function Neural Network Program (Clustering Algorithm) developed using MATLAB software. The implementation utilizes MATLAB's neural network toolbox for efficient clustering analysis through radial basis function activation.
Artificial Neural Network for Image Segmentation
MATLAB implementation of artificial neural network for license plate image segmentation, featuring character-background separation and preprocessing techniques
Artificial Neural Network Algorithm for Fault Diagnosis
Artificial Neural Network Algorithm designed for fault diagnosis applications, capable of identifying and classifying various fault types through pattern recognition and data analysis.
Neural Network Prediction with MATLAB Implementation
MATLAB programs for prediction using artificial neural networks, featuring multiple practical examples with detailed code implementations and algorithm explanations
MATLAB Implementation of Artificial Neural Networks with Source Code
Artificial Neural Networks with MATLAB - Comprehensive source code collection for effective neural network learning and implementation