MATLAB-Based Ship Electrical Load Forecasting System

This MATLAB program implements ship power load prediction using reliable datasets, demonstrating excellent forecasting accuracy through robust algorithmic implementation.

Support Vector Machine Modeling for Continuous Stirred Tank Reactors: A Practical Implementation Example

This example demonstrates SVM modeling for Continuous Stirred Tank Reactors (CSTRs) in industrial processes, showcasing excellent prediction performance through regression techniques with radial basis function kernels.

Power System Load Forecasting Using Elman Neural Networks

This project implements Elman neural network-based load forecasting for power systems, providing source data and ensuring proper program execution with satisfactory prediction results. Key features include dynamic memory implementation through recurrent connections and time-series data preprocessing for enhanced temporal pattern recognition.

Traffic Flow Prediction Using ARIMA Model

Traffic flow prediction based on ARIMA model demonstrating excellent forecasting performance with code implementation insights