 NeuroSolutions
NeuroSolutions v2.15
NeuroSolutions for Excel
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Interactive Book
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NeuralWizard
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Level Comparison
Educator
Users
Consultants
Professional
Developers
Lite
Developers
FAQ
Reviews
Application
Summaries
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There are six levels of NeuroSolutions: The
Educator is the entry level, which is intended for those
who want to learn about neural networks and work with
MLPs. The Users level extends the Educator with a variety
of neural models for static pattern recognition
applications. The Consultants level offers enhanced
models that support dynamic pattern recognition,
time-series prediction and process control problems. The
Professional level adds ANSI-compatible C++ code
generation, allowing you to embed NeuroSolutions' neural
networks 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). The Developers and
Developers Lite levels allow you to extend the
functionality of NeuroSolutions by integrating your own
neural network, preprocessing, control, and input/output
algorithms.
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| Educator Topologies
- Multilayer Perceptron
(MLP)
- Generalized Feedforward
- User-defined network
topologies
- Up to 50 inputs/neurons per layer
- Up to 2 hidden layers
Learning Paradigms
Competitive Advantage
- 32-bit code
- Faster simulations
- Icon-based graphical user
interface
- Extensive probing
capabilities
- Easy neural network creation with the NeuralExpert and the NeuralBuilder
Users
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/neurons per layer
- Up to 6 hidden layers
Learning Paradigms
- Backpropagation
- Unsupervised Learning
- Hebbian
- Oja's
- Sanger's
- Competitive
- Kohonen
Additional Features
- Genetic optimization of neural network parameters and weights.
Competitive Advantage
- More inputs/outputs
- More neurons per layer
- More neural models to
choose from
- More unsupervised learning
rules
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Consultants 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
- More than 90
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
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
Features
- All features of the
Developers level except for ANSI C++ code
generation
Developers
Features
- All features of the
Professional level
- User-defined dynamic link
libraries
- 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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