MATLAB Code for Time Series Prediction Using BP Neural Network

During my mathematical modeling work, I developed MATLAB code that implements time series prediction using a Backpropagation (BP) Neural Network. The code has undergone comprehensive testing and is fully operational. For beginners, this implementation provides an excellent learning resource with included MATLAB-formatted data that facilitates straightforward execution and validation. The code contains detailed annotations explaining implementation specifics, including network architecture configuration, training parameter settings, and data preprocessing steps. I believe this MATLAB code will prove valuable for understanding neural network applications in time series forecasting. Key implementation features include: - Neural network initialization with configurable hidden layers - Time series data normalization and sliding window processing - Backpropagation algorithm with adjustable learning rate and momentum - Performance evaluation metrics for prediction accuracy - Modular code structure separating data preparation, training, and prediction phases