SANN
Overviews
SANN - Neural Networks: An Overview
SANN Overviews - Neural Network Tasks
SANN Overviews - Network Types
SANN Overviews - Activation Functions
SANN Overviews - Selecting the Input Variables
SANN Overviews - Neural Network Complexity
SANN Overviews - Network Training
SANN Overviews - Network Generalization
SANN Overviews - Pre and Post Processing of Data
SANN Overviews - Predicting Future Data and Deployment
SANN Overviews - Recommended Textbooks
SANN Overviews - Ensembles and Subsampling
Dialogs
SANN - Analysis/Deployment Startup Panel
SANN - Data Selection
Quick Tab
Sampling Tab
Subsampling Tab
Time Series Tab
SANN - Automated Network Search (ANS)
MLP Activation Functions Tab
Weight Decay Tab
Initialization Tab
Model Activation
Model Deletion
Neural Networks Training in Progress
SANN - Custom Neural Network
Quick MLP/RBF Tab
MLP Tab
RBF Tab
Decay (MLP/RBF) Tab
Real Time Training Graph Tab
Quick (Kohonen) Tab
Kohonen Training Tab
SANN - Results
Predictions Tab
Graphs Tab
Details Tab
Custom Predictions Tab
Predictions (Kohonen) Tab
Graphs (Kohonen) Tab
Kohonen Graph Tab
Lift Charts Tab
SANN Examples
1: Performing Regression with 4 Bar Linkage Data
2: The Iris Problem
3: Growth in Number of Airline Passengers over Time
4: Time Series (Classification)
5: Cluster Analysis in SANN
6: Deploying the 4Bar Linkage data