Neural Network

• Setting Analysis Parameters
• Generate Random Training Points
• Generate Neural Network Input Files
• Run Neural Network Module
• Read Results from Neural Network Module

Note: Neural Network Analysis is performed in a Visual C++ program called "DataXplore".

RBFLN stands for radial basis functional link network. This method uses a training dataset of "deposit" and "non-deposits" combined.
The fuzzy clustering method finds clusters of unqiue conditiosn in the evidential themes and does not use training data (unsupervised).

Setting Analysis Parameters

1. Select 'Set Analysis Pararameters...' from the SDM menu.
2. Check the RBFLN (Supervised) and/or Fuzzy Clustering (Unsupervised) options listed under 'Neural Network Analysis'.
3. Select:
   • a study area grid theme
   • unit area
   • "deposit" training point theme (RBFLN option)
   • "non-deposit" training point theme (RBFLN option)
   • default value for defining missing data
4. Click OK.