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 Products Levels

 

NeuroSolutions is broken down into three different levels. This way you only have to pay for the capabilities that are useful to you. Below is a summary of these levels. If any of this information is unclear, please do not hesitate to contact our sales staff -- they would be glad to recommend a level that best meets your needs.

View the side-by-side level comparison chart.

Level A - Standard

The Standard is the entry level of NeuroSolutions and it is intended for those who want to learn about neural networks. However, this level can be used to solve real-world problems with the most common neural network architecture, the multilayer perceptron (MLP).
Topologies
  • Multilayer Perceptron (MLP)
  • Generalized Feedforward
  • User-defined network topologies
  • Modular
  • Jordan/Elman
  • Self-Organizing Map (SOM)
  • Principal Component Analysis (PCA)
  • Radial Basis Function (RBF)
  • Probabilistic Neural Network (PNN)
  • General Regression Neural Network (GRNN)
  • Fuzzy Logic networks
  • Support Vector Machine networks
  • Up to 500 inputs/outputs/neurons per layer
  • Up to 6 hidden layers
Learning Paradigms

  • Backpropagation

    • Step
    • Momentum
    • Delta-Bar-Delta
    • Quickprop
    • Conjugate Gradient
    • Levenberg-Marquardt

  • Unsupervised Learning

    • Hebbian
    • Oja's
    • Sanger's
    • Competitive
    • Kohonen
Additional Features
  • Genetic optimization of neural network parameters and inputs

 

Competitive Advantage

    • Double-precision calculations
    • Faster simulations
    • Icon-based graphical user interface
    • Extensive probing capabilities
    • Hybrid supervised/unsupervised topologies

Level B - Professional

The Professional level offers enhanced models which support dynamic pattern recognition, time-series prediction and process control problems. It gives you access to all available neural components and does not restrict the number of inputs, outputs or hidden neurons. ANSI-compatible C++ code generation, allowing you to embed NeuroSolutions' algorithms into your own applications (including learning). Furthermore, this level allows any simulation prototyped within NeuroSolutions to be run on other platforms (requires the Source Code License). Another option is to purchase a lower level of NeuroSolutions, but then add in the Custom Solution Wizard to generate the neural networks as compiled DLLs instead of C++ source code.
Topologies
  • All topologies of the Users level
  • Hopfield networks
  • Time Delay Neural Network (TDNN)
  • Time-Lag Recurrent Network (TLRN)
  • General Recurrent
  • User-defined network topologies
    • Over 100 components to build from
    • A virtually infinite number of possible networks
Learning Paradigms
  • All paradigms of Users level
  • Recurrent backpropagation
  • Backpropagation through time
ANSI C++ source code generation
  • Embed neural networks into your own applications
  • Train networks on faster computers
Competitive Advantage
  • Unlimited inputs/outputs
  • Unlimited neurons per layer
  • Dynamical systems modeling
  • Time-Lag Recurrent Networks

 

Level C - Developers

The Developers level allows you to implement your own algorithms as DLLs and generate C++ source code for your neural networks. The generated code can even include your custom algorithms, giving you complete flexibility in the neural network development process.
Features
  • All features of the Professional level
  • User-defined dynamic link libraries to create customized neural components:
    • Nonlinearities
    • Interconnection matrices
    • Gradient search procedures
    • Error criteria
    • Unsupervised learning rules
    • Memory structures
    • Customized input/output
    • Customized parameter scheduling

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