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

Introduction

Neural Network Toolbox™ extends MATLAB® with tools for designing, implementing, visualizing, and simulating neural networks. Neural networks are invaluable for applications where formal analysis would be difficult or impossible, such as pattern recognition and nonlinear system identification and control. Neural Network Toolbox software provides comprehensive support for many proven network paradigms, as well as graphical user interfaces (GUIs) that enable you to design and manage your networks. The modular, open, and extensible design of the toolbox simplifies the creation of customized functions and networks.

Key Features

• GUI for creating, training, and simulating neural networks
• Quick start wizards for fitting, pattern recognition, and clustering
• Support for the most commonly used supervised and unsupervised network architectures
• Comprehensive set of training and learning functions
• Dynamic learning networks, including time delay, nonlinear autoregressive (NARX), layer-recurrent, and custom dynamic
• Simulink® blocks for building neural networks and advanced blocks for control systems applications
• Support for automatically generating Simulink blocks from neural network objects
• Modular network representation that enables an unlimited number of input-setting layers and network interconnections and a graphical view of network architecture
• Preprocessing and postprocessing functions and Simulink blocks for improving network training and assessing network performance
• Visualization functions and GUI for viewing network performance and monitoring the training process