NeuroSolutions for MATLAB Products Summary

The NeuroSolutions for MATLAB neural network toolbox is a valuable addition to MATLAB's technical computing capabilities allowing users to leverage the power of NeuroSolutions inside MATLAB.


The toolbox features 15 neural models, 6 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.

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.


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 6 learning algorithms are featured along with the powerful Levenberg-Marquardt method:

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