Using Hopfield Neural Networks for Association and Recognition to Remove Noise Effects

Applying Hopfield neural networks to perform association and recognition on noisy digital image patterns "1, 2, 3, 4" to eliminate noise interference, with implementation insights on pattern storage and energy minimization algorithms.

30 MATLAB Neural Network Case Studies with Implemented Code Examples

This collection contains 30 practical MATLAB neural network case studies with executable programs, covering BP, RBF, SVM, SOM, Hopfield, LVQ, Elman, wavelet networks, and extending to optimization techniques like PSO (Particle Swarm Optimization), grey neural networks, fuzzy networks, probabilistic neural networks, and genetic algorithm implementations.