Digital Image Recognition Using Enhanced BP Neural Network with Momentum Term and Variable Step-Size Method
This project implements digital image recognition through an improved Backpropagation (BP) neural network incorporating momentum term and variable step-size algorithms. The implementation includes train.m for network training with enhanced convergence, shibie.m for image classification operations, and actfun.m providing customizable activation functions. The package includes image.rar containing sample image datasets for testing and validation.