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.

Improved BP Neural Network for Digital Image Recognition Using Momentum Term and Adaptive Learning Rate Training

Enhanced BP Neural Network Implementation for Digital Image Recognition with Momentum and Variable Step Size Optimization Techniques