Neural Network Prediction in MATLAB with Time Series Forecasting

This MATLAB program enables comparative analysis of different neural network approaches for time series forecasting, specifically designed for wind speed prediction with multi-hour ahead forecasting capabilities. The implementation includes various neural network architectures and training algorithms to optimize prediction accuracy for renewable energy applications.

Prediction Program for Various Time Series Data

A predictive program capable of forecasting diverse time series data: including stock market trends, seismic activity, precipitation patterns, hydrological changes, and more.