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Acknowledgments
Artificial Neural Networks
Simulation, Training and Analysis Software:
ANNAP Version 1.4
User's Manual
Cengiz Günay,
cengiz@ull.edu
Acknowledgments
Contents
Introduction
Organization of This Document
Conventions in This Document
Directory Hierarchy
Usage
Functionality
Training the Network
Operations Before Training
Training Loop
Convergence Check
Operations After Training
Displaying Training Results
Analysis of Trained Network
Observing the Input Space
Representing the Input Space at the Hidden Units
Representing the Input Space Superimposed at the Output Units
Observing Hidden Unit Activations
Generate Inputs Sets
Banding Analysis
-Means Clustering Analysis
Analysis on the Input Sets
Interpreting Input Features
Loading and Saving the State of the Network
Advantages of Keeping Saved States of Trained Networks
Modules
Base Modules
ProbSpec.m
DefaultUndefs.m
LoadIO.m
RndWtsBs.m
MainLoop.m
and
MainNNToolbox.m
PatRandom.m
SigmoidWeightUpdateOrdered1L.m
TODO.m
Training functions and
WeightUpdateGlob.m
batchMode.m
and
batchModeNewton.m
incrementalMode.m
and
incrementalModeNewton.m
sigmoidalUnit.m
,
sigmoidalUnitDeriv.m
,
valueUnit.m
,
valueUnit2Deriv.m
, and
valueUnitDeriv.m
ConvChk.m
and
ConvChkGlob.m
'stopper'
, Maximum Squared Error Criterion
'mse'
, Mean Squared Error Criterion
'runQueue'
, Running Queue Mean Criterion
'misses'
, Missed Pattern Percentage Criterion
DrawResults.m
Cluster.m
and
ClusterGlob.m
Tool Modules
Representing the Input Space
InputSpace2D.m
,
InputSpace3D.m
,
InputSpaceToOutput3D.m
, and
ActivationColor.m
Density Plots
NetInputs.m
,
Jitter.m
,
Histo.m
, and
ScanHids.m
Analysis Tools
BandAna.m
and
AnalyzeInputSets.m
ColorGrid.m
DataDump.m
JitterBandana.m JitterClick.m JitterDeleteSeparator.m JitterGlob.m JitterHighlightCurLine.m JitterMoveCurLine.m JitterNewSeparator.m JitterRelease.m
LoadNetwork.m SaveNetwork.m
TimeMeasure.m
M
ATLAB
Reference
Future Work
Bibliography
Index
About this document ...
Cengiz Gunay
2000-06-25