Explore MATLAB source code curated for "广义回归神经网络" with clean implementations, documentation, and examples.
Freight Volume Forecasting with Generalized Regression Neural Network (GRNN) - A neural network-based data prediction model for freight volume analysis
Data prediction based on Generalized Regression Neural Network (GRNN), featuring cross-validation GRNN neural network prediction program with comparative analysis between BP and GRNN networks. Both networks are trained using identical datasets, demonstrating implementation approaches for neural network optimization and performance evaluation.
This approach combines chaos theory with generalized regression neural networks for short-term load forecasting, achieving satisfactory predictive performance through nonlinear system analysis and machine learning implementation.
Source code implementation for freight volume prediction based on Generalized Regression Neural Network (GRNN), featuring ready-to-compile code with comprehensive inline comments and detailed algorithm explanations.
Freight Volume Forecasting Based on Generalized Regression Neural Network
Freight Volume Prediction with Generalized Regression Neural Network (GRNN) - Implementation and Algorithm Analysis