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AI - a Guide to Intelligent Systems.pdf - Member of EEPIS

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402 <strong>AI</strong> TOOLS AND VENDORS<br />

TransferTech GmbH<br />

Cyriaksring 9A<br />

D-38118 Braunschweig, Germany<br />

Phone: +49 (531) 890-255<br />

Fax: +49 (531) 890-355<br />

e-mail: info@transfertech.de<br />

http://www.transfertech.de/wwwe/ncm/ncme_scr.htm<br />

NeuroForecaster<br />

NeuroForecaster (NF) is a windows-based, user-friendly and intelligent neural network<br />

forecasting <strong>to</strong>ol. It incorporates neural network and fuzzy computing. The NF can be used<br />

for time-series forecasting (e.g. s<strong>to</strong>ck and currency market forecasts, GDP forecast),<br />

classification (e.g. s<strong>to</strong>ck selection, bond rating, credit assignment, property valuation)<br />

and indica<strong>to</strong>r analysis. The NF can read Excel, MetaS<strong>to</strong>ck, CSI, Computrac and ASCII data<br />

files directly.<br />

NewWave <strong>Intelligent</strong> Business <strong>Systems</strong>, NIBS Inc.<br />

e-mail: info@kDiscovery.com<br />

http://web.singnet.com.sg/~midaz/nfga.htm<br />

NeuroShell 2<br />

Combines powerful neural network architectures, a user interface driven by Micros<strong>of</strong>t<br />

Windows icons, sophisticated utilities and popular options <strong>to</strong> give users the ultimate<br />

neural network experimental environment. It is recommended for academic users, or for<br />

users who are concerned with classic neural network paradigms like back-propagation.<br />

Users interested in solving real problems should consider the NeuroShell Predic<strong>to</strong>r,<br />

NeuroShell Classifier or the NeuroShell Trader.<br />

Ward <strong>Systems</strong> Group, Inc.<br />

Executive Park West<br />

5 Hillcrest Drive<br />

Frederick, MD 21703, USA<br />

Phone: +1 (301) 662-7950<br />

Fax: +1 (301) 663-9920<br />

e-mail: sales@wardsystems.com<br />

http://www.wardsystems.com/products.asp<br />

NeuroSolutions<br />

This s<strong>of</strong>tware combines a modular, icon-based network-design interface with an<br />

implementation <strong>of</strong> learning procedures, such as recurrent back-propagation and backpropagation<br />

through time. Other features include GUI and C++ source-code generation.<br />

There are six levels <strong>of</strong> NeuroSolutions: the Educa<strong>to</strong>r, the entry level intended for those who<br />

want <strong>to</strong> learn about neural networks; the Users level, which extends the Educa<strong>to</strong>r with a<br />

variety <strong>of</strong> neural models for static pattern recognition applications; and the Consultants<br />

level that <strong>of</strong>fers enhanced models for dynamic pattern recognition, time-series prediction<br />

and process control.<br />

NeuroDimension, Inc.<br />

1800 N. Main Street, Suite D4<br />

Gainesville, FL 32609, USA

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