Predictive Commands for Four Neural Network Types: BP, Elman, RBF, and GRNN
Implementation-ready prediction commands applicable to BP, Elman, RBF, and GRNN neural networks with algorithmic enhancements
Creation and Comparison of RBF, GRNN, and PNN Neural Networks
Detailed explanation of the establishment, model training, testing, and normalization processes for three neural network architectures, with performance evaluation and comparative analysis of different network performances, including result comparison images
GRNN-Based Data Prediction: Freight Volume Forecasting Using Generalized Regression Neural Network
Freight Volume Forecasting with Generalized Regression Neural Network (GRNN) - A neural network-based data prediction model for freight volume analysis
Functions Provided by Neural Network Toolbox for Iris Species Classification
This algorithm utilizes MATLAB's Neural Network Toolbox functions to construct classification models using Generalized Regression Neural Network (GRNN) and Recurrent Neural Network (RNN), establishing relationships between individual attributes/attribute combinations and iris flower species.
Freight Volume Prediction Using GRNN
Freight Volume Forecasting Based on Generalized Regression Neural Network
GRNN-Based Freight Volume Prediction Using Generalized Regression Neural Network
Freight Volume Prediction with Generalized Regression Neural Network (GRNN) - Implementation and Algorithm Analysis
Comparative Analysis of ELM vs BP, RBF, PNN, and GRNN Neural Networks
Technical comparison of Extreme Learning Machine (ELM) with Backpropagation Neural Network (BP), Radial Basis Function Network (RBF), Probabilistic Neural Network (PNN), and Generalized Regression Neural Network (GRNN)