NeuroSolutions for Excel is a Microsoft Excel add-in that simplifies and enhances the process of getting data into and out of a NeuroSolutions neural network. This tool benefits both the novice and the advanced neural network developer by offering easy to use, yet extremely powerful features. The foremost feature of this product is that all tasks can be performed directly from Excel!
The Custom Solution Wizard does more than just create an isolated DLL. It integrates the DLL into a working sample application, giving you an excellent starting point for your own application. Sample applications can be created for Visual Basic, Access, Excel, Visual C++ and Active Server Pages (ASP web pages). In addition, you can also use the CSW to develop custom neural network models for our financial analysis product, TradingSolutions.
The NeuroSolutions for MATLAB neural network toolbox is avaluable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions inside MATLAB. The toolbox features 15 neural models, 5 learning algorithms and a host of useful utilities integrated in an easy-to-use interface, which requires "next to no knowledge" of neural networks to begin using the product.
“Introduction to Neural Network:A practical approach with NeuroSolutions” is a one-day hands-on workshop that focus on fundamental concepts and techniques for analysis and design of neural computation as an approach to intelligent problem solving. A great feature of the course is that the teaching material will illustrate practical graphical neural network development tools (NeuroSolutions) that enable you to easily create a neural networks model from your data. The course also illustrate the process of building of neural network directly from Excel that simplifies and enhances the process of getting data into and out of a neural network.
TradingSolutions is a software product that helps you make better trading decisions by combining traditional technical analysis with state-of-the-art artificial intelligence technologies. Use any combination of financial indicators in conjunction with advanced neural networks and genetic algorithms to create trading models that are remarkably effective.

 


Customer Interviews:

Teboho Nyareli - Helping to Save Lives in the Mining Industry!

Teboho Nyareli has worked at the Council for Scientific and Industrial Research (CSIR) in South Africa for 3-years as a research engineer specifically doing research for the mining industry. Mr. Nyareli obtained his Masters degree in Electronic Engineering from the University of Cape Town in South Africa.

In the mining industry, most of the underground injuries and fatalities are due to rock falls (i.e. fall of hanging wall/roof). The method that has been used for many years in the mines when determining the integrity of the hanging wall is to tap the hanging wall with a sounding bar and listen to the sound emitted. An experienced miner can differentiate an intact/solid hanging wall from a detached/loose hanging wall by the sound that is emitted. This method is subjective. CSIR has developed a device that assists any miner in making an objective decision when determining the integrity of the hanging wall. A trained neural network model is embedded into the device. The device then records the sound emitted when a hanging wall is tapped. The sound is then preprocessed before being input into a trained neural network model and the trained model classifies the hanging wall as either intact or detached.

Mr. Nyareli has been using NeuroSolutions now for two and a half years and attended the May 2005 Neural Network Course in Ann Arbor, Michigan. Using the Professional level of NeuroSolutions with the Source Code License, Teboho was able to obtain around 70% accuracy on out-of-sample data using the default settings from the NeuralExpert. The model contained a total of 9 inputs and 2 outputs with around only 160 exemplars for training and 50 exemplars for Cross Validation and Testing.

Mr. Nyareli only used the Professional level of NeuroSolutions and the Source Code License to complete this project and found that "NeuroSolutions has a good graphical interface" and chose it over competitive products because it was the easiest "to use NeuroSolutions on a Windows platform".

Currently the prototype system is undergoing a final set of tests. Next will be the commercialization phase, which is planned for completion sometime in 2008. We would like to thank Mr. Nyareli for the great insight on how CSIR is making underground mining safer for miners in South Africa and we look forward to hearing about the finished product.

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