Qnet 2000 Home
Qnet 2000 Manual
General Info
	Introduction
	System Requirements
	Installation
Qnet Neural Networks
	Neural Networks - Description
	Network Design and Construction
	Input and Output Layers
	Hidden Processing Layers
	Network Connections
	Transfer Functions
	Steps for Creating Networks
Training Data
	Training Data
	Input File Format
	Data Preparation
	Data Normalization
	Training Patterns - Quantity
	Training Patterns - Weightings
Neural Network Training
	Training Neural Networks with Qnet
	Learning Modes
	Learn Rates and Learn Rate Control
	Training Patterns per Update Cycle
	Starting New Networks
	Training Error
	Training Analysis Tools
	Training Divergence
	Unattended Training
	AutoSave
	Backpropagation vs Fast-Prop
	When is Traiing Complete?
	Training Speed
	AutoTrain
	Steps for Creating Neural Network Models
Using Trained Neural Network
	Network Recall
	Source Code for Network Recall
	QnetTool
	DLL access
Qnet Reference Section
	Qnet Command Startup Options
	Startup Window
	AutoTrain Options Dialog
	Training Setup Dialog
	Training Setup - Network Design
	Training Setup - Training Parameters
	Training Setup - Training Data
	Training Window
	Recall Setup Dialog
	Recall Window
	NetGraph
	Info Browser
	About Window
Sample Problems
	Optical Character Recognition
	Digital Signal Processing
	Data Analysis: Sphere Drag
	Data Analysis: Weather Mapping
	Random Number Memorization
	Market Forecast Model
Miscellaneous
	Backpropagation Training - Technical Overview
	Qnet Limits and Specifications
	Technical Support
DataPro Manual
	Overview
	Command Line
	Generate New DataPro Training Data
	Edit/Review Existing Data
DataPro Reference
	Paste Inputs
	Paste Targets
	Data Labels
	Data Limits
	Clear
	Frist Column Contains Case Weight Factors
	Saving Data
QnetTool Manual
	Overview
	Automated QnetTool Recall
	Manual QnetTool Recall
	Sample Excel Macro
	DLL/VB Access
	Limits and Specs
QnetTool Reference
	Open a Qnet Neural Network
	Paste from Clipboard
	Save Data As...
	Clear
	Recall
	Copy to Clipboard