Neural Network Toolbox 6.0.1

Product Description

• Introduction and Key Features
• Working with Neural Network Toolbox™
• Network Architectures
• Training and Learning Functions
• Simulink Support and Control System Applications
• Preprocessing and Postprocessing Functions

Preprocessing and Postprocessing Functions

Preprocessing the network inputs and targets improves the efficiency of neural network training. Postprocessing enables detailed analysis of network performance. Neural Network Toolbox provides preprocessing and postprocessing functions and Simulink blocks that enable you to:

• Reduce the dimensions of the input vectors using principal component analysis
• Perform regression analysis between the network response and the corresponding targets
• Scale inputs and targets so that they fall in the range [-1,1]
• Normalize the mean and standard deviation of the training set
• Automated data preprocessing and data division are built into the network creation process.