Neural Network Toolbox™ 6.0

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

Working with Neural Network Toolbox™

Like its counterpart in the biological nervous system, a neural network can learn and therefore can be trained to find solutions, recognize patterns, classify data, and forecast future events. The behavior of a neural network is defined by the way its individual computing elements are connected and by the strength of those connections, or weights. The weights are automatically adjusted by training the network according to a specified learning rule until it performs the desired task correctly.

Neural Network Toolbox GUIs make it easy to work with neural networks. The Neural Network Fitting Tool is a wizard that leads you through the process of fitting data using neural networks. You can use the tool to import large and complex data sets, quickly create and train networks, and evaluate network performance.

A second GUI gives you greater ability to customize the network architecture and learning algorithms. Simple graphical representations enable you to visualize and understand network architecture.

Additional GUIs are available for other common tasks including pattern recognition, clustering, and network training.

The Neural Network Fitting Tool (top) and a performance plot (bottom). The Neural Network Fitting Tool guides you through the process of fitting data using neural networks, while additional GUIs are available for other common tasks such as pattern recognition and clustering. Click on image to see enlarged view.