NeuroSolutions is NeuroDimension's base product. This leading edge software combines a modular, icon-based network design interface with an implementation of advanced learning procedures, such as recurrent backpropagation and backpropagation through time. Some other notable features include C++ source code generation, customized components through DLLs, a comprehensive macro language, and Visual Basic accessibility through OLE Automation.
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.
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NeuroSolutions for MATLAB
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Step 1: Creating a neural network

The easiest way to create a neural network using NeuroSolutions for MATLAB is to type the following command within the MATLAB interface.

    >> mynet = nsnn;
The preceding command creates the default network, a one hidden layer Multi-Layer Perceptron (MLP), which is the most popular neural network among engineers and researchers worldwide. All the settings for the network are set to well-researched defaults, putting the neural network in a “good-to-go” state after entering just one simple command.

SMART DEFAULTS

Other parameters that depend on your actual data are set when the data is passed to the train function (nsTrain). For example, the ideal number of neurons (processing elements) in the hidden layer of the neural network is computed from the data using a proprietary formula. Thus, the intricacies involved in setting up a neural network are automatically taken care of, allowing the user to concentrate on solving the problem at hand.

Here you have seen how to create the default MLP network. Many other neural networks and learning algorithms are available within NeuroSolutions for MATLAB. See the Product Summary for complete information.

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