Greetings from NeuroDimension!

The World Leader in Neural Network Software

 

This issue of the NeuroDimension newsletter highlights new releases of NeuroSolutions and its associated products and the upcoming neural network course, along with tips and techniques for using NeuroSolutions more effectively.

 

In this issue you’ll find:

 

Product Upgrade Announcement

  *  NeuroSolutions v4.13 Now Available

 

What’s New and News?

  *  Neural Network Course Completed

  *  New Neural Network Course Added

  *  New TradingSolutions Release Available

 

Designing Neural Networks

  *  Discriminating Between Classes with Different Frequencies

 

Feature Spotlight

  *  Neuro-Fuzzy Architecture

 

Note: You are receiving this newsletter because you requested to stay informed concerning new developments at NeuroDimension. If you would like to stop receiving these newsletters, please see the bottom of this newsletter for removal instructions.

 

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Product Upgrade Announcement

NeuroSolutions v4.13 Now Available

 

NeuroSolutions v4.13 is now available from NeuroDimension. This release addresses a handful of minor bug fixes, mostly related to the new features such as, Neuro-fuzzy, SVMs and Genetic Optimization. There have also been a few new features added since v4.0 including:

 

  *  NeuroSolutions for Excel support of Office XP

  *  Support for reading 24-bit bitmaps

  *  Enhanced documentation for some of the new components and algorithms

  *  Enhanced performance for the Neuro-Fuzzy networks

 

If you already have NeuroSolutions v4.0 or v4.1 installed on your computer you can upgrade to v4.13 by downloading and running the patch from: http://www.nd.com/support/ns_patch.htm

 

The complete installation program is available for download at: http://www.nd.com/download.htm

 

Note that if your evaluation copy of NeuroSolutions v4.0 has already expired, upgrading to v4.13 will extend your evaluation period by another 60 days.

 

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What’s New and News?

 

Neural Network Course Completed

We successfully completed another neural network and NeuroSolutions course in early May. It included attendees from Saudi Arabia, Denmark, Great Britain, and all over the US. We always enjoy getting to know our customers better, especially when it gives us a chance to discuss their applications. Once again, we received rave reviews from our attendees, giving us an average score of 4.6 of 5 when asked to rate the overall quality of the course.

 

New Neural Network Course Added

The next neural network course has been scheduled for November 5-9, 2001 at the Grosvenor Resort, located in the Walt Disney World Resort in Orlando, Florida. A 10% discount is available for early registration, so be sure to register today!

 

Our course format allows both novice and advanced users to find a suitable course. Offered courses include: "Introduction to NeuroSolutions", "Fundamentals of Neural Networks and NeuroSolutions", and "Advanced NeuroSolutions". In addition, each of the courses includes updates on the new features of NeuroSolutions 4.0, geared towards each level of user.

 

The courses include a copy of our interactive book, Neural and Adaptive Systems: Fundamentals Through Simulations. We are also happy to work with attendees who would like to use their own data in the sample projects.

 

For details on this new offering, or to sign-up from the Internet, see http://www.nd.com/course/nov_2001.htm 

For general ND course information, see http://www.nd.com/course 

 

For more information and samples of the interactive book, see http://www.nd.com/products/nsbook.htm

 

New TradingSolutions Release Available

TradingSolutions v1.21 Build 010614 is now available for download. As with previous releases, version 1.21 helps you make better trading decisions by combining traditional technical analysis with state-of-the-art artificial intelligence technologies. Version 1.2 added easier-to-follow step-by-step tutorials, sample models, and new signal analysis options. Version 1.21 fixes minor bugs and adds many new built-in functions.

 

For more information about TradingSolutions and downloading a FREE evaluation copy, see http://www.tradingsolutions.com

 

To stay informed with the latest TradingSolutions updates and tips, be sure to sign up for the TradingSolutions newsletter.

 

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Designing Neural Networks

This Issue: Discriminating Between Classes with Different Frequencies

 

Often times a classification problem may have a large number of examples of one class and only a few in another. For instance, in medical classification there may be 90 exemplars of data for patients who do not have a rare disease and only 10 exemplars for patients who do. Trying to classify this data can be very difficult for a neural network. The reason is that the network does not have enough information (e.g. exemplars) about the sick patients relative to the information about the healthy patients. When this happens the network has a difficult time detecting the smaller class and typically makes the simple decision – that every patient is healthy.

 

The easiest way to deal with this problem is to give more emphasis to the smaller class. For instance, if you have 90 healthy patients and 10 sick patients, the errors or gradients from the sick patients will be weighted 9 times more than the ones from the healthy patients. This is equivalent to duplicating each of the sick patients 9 times in your data set, thus making the number of exemplars in each class the same.  Whenever you have a situation where the network is focusing too much on the larger class(es), you should “weight the gradients”.

 

Weighting the gradients has been a feature in NeuroSolutions for quite some time, but does not get much attention. To turn this feature on, open the properties of the “BackStaticController” and click on the “Weighting” page. Click the check box that says “weight the gradients” and then click the “Assign weights to file” button. This will automatically read the desired file and calculate the frequency of each class. It will then scale the gradients from each exemplar so that each class will get equal gradient weighting. If you desire, you may create your own “weighting file” and instruct NeuroSolutions to use it via the “Weighting File” button.

 

NeuroSolutions for Excel v4.1 now includes a check box on the training panel labeled “For classification problems, make classes evenly weighted” that will automatically set NeuroSolutions to weight the gradients.

 

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Feature Spotlight

This Issue: Neuro-Fuzzy Architecture

 

Fuzzy logic is a superset of conventional (Boolean) logic that has been extended to handle the concept of partial truth -- truth values between "completely true" and "completely false". It can often simplify a problem by using a priori information to divide the input space. This knowledge is encoded into membership functions, which are used to determine the decision boundaries.

 

A neuro-fuzzy system is a neural network / fuzzy logic hybrid that combines the best of both worlds. It uses fuzzy logic to interpret the inputs and backpropagation to map the inputs to the desired output. In addition, backpropagation can be used to adapt the parameters of the fuzzy membership functions so that a priori knowledge of the inputs is not required.

 

The NeuralBuilder of NeuroSolutions 4 includes a neural model called the coactive neuro-fuzzy inference system, or CANFIS for short. A good introduction to this architecture is included with the NeuroSolutions demos (under the Help menu) and within the NeuralBuilder documentation. A more detailed description can be found in Neuro-Fuzzy and Soft Computing by J.-S. R. Jang, C.-T. Sun, and E. Mizutani (Prentice Hall, 1997).

 

The CANFIS model can be useful for those problems that have non-discrete or poorly defined input data. Due to the exponential relationship between the number of input columns and the number of internal processing elements, it is recommended that this model be limited to data sets that have very few (five or less) inputs.

 

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Comments or Suggestions?

 

We appreciate your feedback! Please send us your comments or suggestions concerning this newsletter, our web site, or part of the NeuroDimension product line. Write to us at: feedback@nd.com

 

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