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The NeuroSolutions for MATLAB neural network toolbox is a valuable addition
for MATLAB users who want to leverage the power of NeuroSolutions inside MATLAB.
The toolbox features 15 neural models, 5 learning algorithms and a host of
useful utilities that enables one to employ the power of neural networks to
solve complicated real-world problems. All the capabilities are integrated in an
easy-to-use interface, which requires ?next to no knowledge? of neural networks
to begin using. It allows you to concentrate on solving your problem using
neural networks without having to spend many taxing hours perusing neural
network literature and developing the algorithms yourself.
The toolbox is also integrated with NeuroSolutions. This enables users to
build custom networks in NeuroSolutions, generate DLLs for those networks using
the Custom Solution Wizard and then use those neural network DLLs inside MATLAB
using the NeuroSolutions for MATLAB interface. The three products are available
as a suite at a discounted price.
Easy-to-use interface
The functionality available in the toolbox is integrated in an easy-to-use
interface that can be utilized by users with ?next to no knowledge? of
neural networks. Users who are familiar with MATLAB would be able to pick up and
use the entire package within a few minutes.
Features:
The toolbox features several variants of the following neural models:
- Multi-Layer Perceptron
- Generalized Feed Forward network
- Modular neural network
- Support Vector Machine
- Partially Recurrent neural network
- Fully Recurrent neural network
- Time-Lag Recurrent neural network
The following 5 learning algorithms are featured along with the powerful
ConjugateGradient method:
- Step
- Momentum
- Quickprop
- Delta-Bar-delta
- Conjugate Gradient
Symbolic data translation allows for using textual data as inputs to a neural
network. The symbolic data translation function comes paired with the inverse
translation function that translates data back to symbols once all other tasks
are completed. The image flattening utility flattens an image into a single row
of data, so that it can be fed into a neural network. The performance indicators
function reveals how well the neural network has trained with statistical
indicators.
- Symbolic data translation
- Image flattening utility
- Performance indicators
The NeuroSolutions for MATLAB neural network toolbox provides an quick, easy
and powerful means to get neural networks to work for you.
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