NeuroSolutions: Level Summary

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NeuroSolutions Levels

NeuroSolutions is broken down into six 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. Once you have determined the level of NeuroSolutions you need, you may obtain a price quote, view our price list or place an order.

View the side-by-side level comparison chart.

Educator

The Educator 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
Up to 50 inputs/outputs/neurons per layer
Up to 2 hidden layers

Learning Paradigms

Backpropagation
- Step
- Momentum
- Delta-Bar-Delta
- Quickprop

Competitive Advantage
- Double-precision calculations
- Faster simulations
- Icon-based graphical user interface
- Extensive probing capabilities

Users

The Users level extends the Educator with a variety of neural models for static pattern recognition applications. It also adds the ability to optimize the inputs and neural network parameters using a genetic algorithm.

Topologies

All topologies of the Educator level
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
- All search methods of Educator level
- 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

More inputs/outputs
More neurons per layer
More neural models to choose from
Hybrid supervised/unsupervised topologies

Consultants

The Consultants 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.

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

Competitive Advantage

Unlimited inputs/outputs
Unlimited neurons per layer
Dynamical systems modeling
Time-Lag Recurrent Networks

Professional

The Professional level adds 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.

Features

All features of the Consultants level
ANSI C++ source code generation

Embed neural networks into your own applications
Train networks on faster computers

Developers Lite

The Developer Lite level extends the functionality of the Consultants level by allowing you to integrate your own neural network, preprocessing, control, and input/output algorithms. You do this by modifying the default C code for the neural components and then compiling the modified code as a DLL.

Features

All features of the Consultants 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

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
All features of the Developers Lite level

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NeuroDimension, Inc. announces the release of NeuroSolutions 5.05

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