Training Hopfield Neural Networks Based on Image Input

This user-friendly program features an intuitive graphical interface for loading images and training Hopfield neural networks. The implementation allows adding noise to test pattern recognition rates, employing Hebbian learning rules for weight matrix computation and asynchronous updates for state convergence.

Dictionary Construction Method for Image Training

An image training-based dictionary construction method suitable for building basis matrices in compressed sensing applications

Training Hopfield Neural Networks for Image Pattern Recognition

Implementation of image-based training for Hopfield neural networks with pattern storage and noise recovery capabilities