Traffic Prediction using BP Neural Network Algorithm
- Login to Download
- 1 Credits
Resource Overview
Detailed Documentation
This documentation presents a traffic prediction program utilizing the Backpropagation (BP) neural network algorithm. The implementation includes both the dataset required for training and the complete source code for prediction modeling. The program features a user-friendly execution process requiring only a few simple steps to operate. The BP algorithm implementation employs multi-layer perceptron architecture with sigmoid activation functions and gradient descent optimization for weight updates. Through rigorous validation and multiple testing cycles, the program has demonstrated high prediction accuracy with minimal mean squared error. For traffic forecasting requirements, this solution provides an optimal combination of algorithmic sophistication and practical usability.
- Login to Download
- 1 Credits