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Visit neurosolutions.com | Download Evaluation |
Volume 7, No.4 |
| This is a Neurosolutions Newsletter, which you are receiving because you requested to stay informed about new developments at NeuroDimension. You can also access current and past issues of Neurosolutions Newsletters online. |
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| Fall 2007 Neural Network Course Deadline Approaching
The next neural network course has been scheduled for November 5 - November 9, 2007 at the International Plaza Resort & Spa in Orlando, Florida. This course is filling up fast, so be sure to sign up today! Our course format allows both novice and advanced users to find a suitable course.
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Offered courses include: "Introduction to NeuroSolutions", "Fundamentals of Neural Networks and NeuroSolutions", and "Advanced NeuroSolutions". The courses include a copy of our interactive book, "Neural and Adaptive Systems: Fundamentals Through Simulations".
For more information, click the "More Info" button below.
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| Customer Interview: Aytac Guven - Time Savings and Greater Correlation
Aytac Guven works as a Research Assistant at the University of Gaziantep in Turkey. Mr. Guven's educational background extends from a Bachelors and Masters in Civil Engineering and is currently a doctoral candidate for Civil Engineering all from the University of Gaziantep.
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Mr. Guven has been using NeuroSolutions for the past two years for the prediction and explicit formulation of local scour downstream of hydraulic structures (i.e. bridge piers,spillways, grade-control structures) as a function of inflow conditions, soil properties and scour geometry. Researchers have found that they are "saving a lot of time compared to other conventional numerical methods" and that "using neural network modeling is much more powerful than other prediction methods". Aytac generally achieves equal or greater than 99% correlation with experimental results!
To read Aytac Guven complete interview, please click the "More Info" button below
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| NS Tip Box: Using the L2TemporalCriterion for Time-Series Prediction Problems
Back in the early stages of development of our TradingSolutions product, we enhanced NeuroSolutions by adding a new Error Criteria component called the L2TemporalCriterion (L2T). This component allows you to give more weight to certain types of errors which pertain to time-series prediction problems such as financial forecasting.
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Enabling the Features
Before going into the details of the options available with this component, let's cover the steps involved in swapping out the default L2Criterion with the L2T:
- Open your existing temporal network, or create a new “Prediction” network with the NeuralExpert or a new “Time-Lag Recurrent” or “Recurrent” network with the NeuralBuilder.
- If you do not have the ErrorCriteria toolbar visible, open the Customize dialog (from the Tools menu) and check the “ErrorCriteria Components” checkbox (click OK to close).
- Left-click on the “L2 Temp” toolbar button so that the cursor changes to a stamp icon.
- Hold the cursor over the L2 component (the rightmost Axon) and left-click. The L2 component should now be replaced with an L2T component.
- Right-click on the L2T icon and select “Properties” to display the inspector for the component.
For more information on "Using the L2TemporalCriterion for Time-Series Prediction Problems", please click on the "More Info" button for the rest of the Tip Box.

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| New Web Content Overview
New content is always being added to our websites. Here is some of the latest content of interest to our users:
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