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NeuroXL Predictor 3.0.1
Released: 2008-12-01 NeuroXL Predictor
License Type: Shareware
Platform: Win95,Win98,WinME,WinNT 3.x,WinNT 4.x,WinXP,Windows2000,Windows2003,Windows Vist
Requirements: Microsoft Excel 97 or higher
Product homepage: http://www.neuroxl.com/
Publisher: OLSOFT
Keywords:
Regular Price:
$49.95
Your price:
$37.46

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NeuroXL Predictor 3.0.1 screenshot

NeuroXL Predictor 3.0.1

NeuroXL Predictor (PredictorXL) is a neural network forecasting tool that quickly and accurately solves forecasting and estimation problems in Microsoft Excel. It is designed from the ground-up to aid experts in solving real-world forecasting problems.

Neural networks are a proven, widely used technology for such complex prediction problems. Loosely modeled after the human brain, neural networks are interconnected networks of independent processors that by changing their connections (known as training) learn the solution to a problem.

NeuroXL Predictor interface is easy-to-use and does not require advanced knowledge of neural networks, and is integrated seamlessly with Microsoft Excel. The software brings increased precision and accuracy to a wide variety of tasks, including stock price prediction, sales forecasting, and sports score prediction. Five transmission functions are now available to choose: Threshold, Hyperbolic tangent, Zero-based log-sigmoid, Log-sigmoid and Bipolar sigmoid. Moreover, it is possible to save the trained network and then load it when necessary.

NeuroXL Predictor is a powerful, easy-to-use and affordable solution for advanced estimation and forecasting. By harnessing the latest advances in artificial intelligence and neural network technology, it delivers accurate and fast predictions for your business, financial, or sports forecasting tasks. Designed as an add-on to Microsoft Excel, it is easy to learn and use yet powerful enough for the most demanding professionals.

Changes:

- five transmission functions are available to choose (Threshold, Hyperbolic tangent, Zero-based log-sigmoid, Log-sigmoid and Bipolar sigmoid)
- the trained network can be saved

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