Designing neural networks commands skill and savvy. (includes related articles on California Scientific Software's Brainmaker, HNC Inc.'s Explorenet 3000, Neuralware Inc.'s Neuralworks, Neural Computer Sciences' Neural Desk and Neurodynamx Inc.'s Dynamind software) (Tutorial)

From: EDN | Date: December 5, 1991| Author: Wright, Maury | Copyright information

Neural networks recognize patterns of data. Inexpensive, microcomputer-based neural-network simulation programs are currently available. These straightforward programs are designed for a variety of tasks, including predicting financial trends and diagnosing circuit-board failures. But designing a neural model and gathering good data for it can be a highly demanding task, even for an experienced engineer. Using an off-the-shelf simulator can be a good way to see if neural networks are applicab...

Read all of this article with a FREE trial to HighBeam Research

Related newspaper, magazine, and journal articles from HighBeam Research

Three-step method evaluates neural networks for your application. (includes related article on seven design steps for back-propagation neural networks) (Tutorial)
EDN ; Characterizing your problem and assessing the available data may lead you to formulating a neural-network implementation. If the problem type fits and the data is sufficient, a neural network can do the thinking for you. Neural networks are the core of many well-known applications, including sonar
Neural networks: computer toolbox for the '90s. (includes related article and list of information sources and suppliers)
R & D ; Neural Networks: Computer Toolbox for the '90s They're fast! They can read! They can generalize! They can do lots of different jobs. They think like you and me. They're neural networks. And if your research facility doesn't have one yet, get ready. Because by the end of the '90s, it will be the
Neural networks provide solutions to nonlinear problems. (real-time control systems) (also includes related article on other applications for neural networks)
Mechanical Engineering-CIME ; Designing real-time control systems is a major thrust of neural network development in engineering. Systems with many variables, such as steel production in hot mill rolling, are ideal candidates for analysis by these networks. MANY PHENOMENA THAT must be understood by engineers have no working
Neural networks tackle real-world problems. (Technology Update)(includes related article on how neural network technology works)
EDN ; Neural networks tackle real-world problems Neural networks mimic the human brain; they operate on experience gained from a set of training data, rather than on a set of rules or a computer program. Now you can use software and hardware products to implement artificial neural networks and solve real
AI-based neural networks.
Business Perspectives ; Al-Based Neural Networks The latest in information-processing technology Just as expert systems sparked interest when they first emerged into the business computing marketplace, neural networks are now in the information technology limelight. Current market forecasts seem to indicate that neural