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Volume 7, No.3 |
| 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 Announced!
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 always fills 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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| NeuroSolutions v5.06 Now Available
NeuroSolutions v5.06 is now available as a free download for all current and prospective customers. This release implements several fixes for minor issues encountered in NeuroSolutions v5.05.
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For complete information on the new version of NeuroSolutions, please click on the "More Info" button below.
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| NeuroSolutions for Matlab v2.0 - Now Supporting Matlab v2007a
NeuroSolutions for Matlab v2.0 is now available as a free download for all current and prospective customers. This release implements several usability enhancements including support for the latest version of Matlab v2007a.
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For complete information on the new version of NeuroSolutions for Matlab, please click on the "More Info" button below.
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| Spring 2007 Neural Network Course Summary
We successfully completed another Neural Network Course in early May. We always enjoy getting to know our customers better, especially when it gives us a chance to discuss their applications. Once again, we received excellent reviews from our attendees and have never had anyone tell us they would not recommend our course to others.
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Quote from two Attendees:
"Extremely thorough training." and "I found the course very good at explaining finer detail/concepts that are not always available in the documentation."
The next Neural Network course has been scheduled for Fall 2007. If you would like more information on our courses, please click the "More Info" button below.
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| Customer Interview: Cameron Cooper - Enhancing Education for Future Generations!
Mr. Cooper has been using NeuroSolutions and NeuroSolutions for Excel for the past 2-years and has attended NeuroDimension's Neural Network Course. AT-RISK identifies "at risk" students for Developmental Mathematic courses, which have an average nationwide failure rates between 40% and 50%.
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AT-RISK uses various input factors such as learning styles, responses to questions about attitudes & beliefs regarding mathematics, high school GPA and standardized test scores to determine whether the student should take the support class designed around AT-RISK. The support class is 1-hour per week and it addresses frustration tolerance, test anxiety and much more. This class has increased the overall student success rate by 8% in the first semester compared to the previous year.
To read Cameron Coopers complete interview, please click the "More Info" button below
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| NS Tip Box: Getting Started with NeuroSolutions for Matlab
The 15 flexible neural models included with NeuroSolutions for MATLAB are sufficient to solve many different types of problems. Many popular architectures are included, such as Multi-Layer Perceptrons (MLP's), Support Vector Machines (SVM's), and Time-Lag Recurrent Networks (TLRN's). For developers and researchers requiring even more flexibility, NeuroSolutions for
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MATLAB can be integrated with NeuroSolutions through the Custom Solution Wizard to access virtually unlimited custom neural network architectures.
Building a Simple Neural Network
In NeuroSolutions for Matlab, "Demo 4" allows you to use your own data or the XOR data set included with the software to quickly build a neural network in Matlab. To bring up the demos, simply type "nsDemos" in the Matlab interface or by clicking on the Start menu, NeuroSolutions for Matlab 2.0 and Demos.
As you step through the demo it will display the NeuroSolutions for Matlab code used in generating the appropriate breadboard:
mynet = nsnn;
mynet.numHiddenLayers = 2;
mynet.modelSettings.gradientDescentMethod = 'LevenbergMarquardt';
mynet.outputAndDesired = logical(1);
mynet = nsTrain (mynet, xor_in, xor_desired);
Your simple neural network is ready to use in Matlab! Of course NeuroSolutions for Matlab goes further in-depth including adding your own custom neural networks from NeuroSolutions as described in the next section.
For more information on "Getting Started with NeuroSolutions for Matlab", 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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