 NeuroSolutions
 NeuroSolutions
v2.15
NeuroSolutions
for Excel
Custom Solution
Wizard
Interactive
Book
Source Code
License
Priority
Support
GUI
NeuralBuilder
 Step
1: Model Selection
Step
2: Training Data
Step
3: Cross Validation
Step
4: Topology Config.
Step
5: Layer Config.
Step 6: Simulation
Control
 Step
7: Probe Config.
Probing
Advanced
Features
Developer
Tools
|
This panel specifies how to train the network
and when to stop the simulations. There are separate
panels for supervised and unsupervised learning. The
figure below illustrates the supervised case.
The stop criterion can be based on either the number of
training epochs or the mean square error (MSE), whichever
happens first. The MSE stop criterion can use either the
training set or test set. When cross validation is
specified from the Cross Validation
panel, the default configuration will stop the network
when the MSE of the cross validation set begins to rise
(meaning that the network has just begun to overtrain).
This panel also specifies when the weights are updated.
On-line learning updates the weights after the
presentation of each exemplar. In contrast, batch
learning updates the weights after the presentation of
the entire training set.
|
