Train and Analyze Neural Networks to Fit
Your Data
Artificial neural networks have revolutionized the way researchers solve
many complex and realworld problems in engineering, science, economics,
and finance. The Neural Networks application helps you utilize this
technology by capitalizing on the computational power and flexibility of
Mathematica.
Neural Networks gives professionals and students the tools to train,
visualize, and validate neural network models. It supports a comprehensive
set of neural network structures—including radial basis function,
feedforward, dynamic, Hopfield, perceptron, vector quantization,
unsupervised, and Kohonen networks. It implements training algorithms such
as Levenberg–Marquardt, Gauss–Newton, and steepest descent. Neural Networks
also includes special functions to address typical problems in data
analysis, such as function approximation, classification and detection,
clustering, nonlinear time series, and nonlinear system identification
problems.
Neural Networks is equally suited for advanced and inexperienced users. Its
palettes facilitate the input of any parameter for the analysis,
evaluation, and training of your data. The online documentation contains a
number of detailed examples that demonstrate different neural network
models. You can solve many problems simply by applying the example commands
to your own data. Neural Networks also provides numerous options to modify
the training algorithms. The default values have been set to give good
results for a large variety of problems, allowing you to get started
quickly using only a few commands. As you gain experience, you will be able
to customize the algorithms to improve the performance, speed, and accuracy
of your neural network models.
With Neural Networks and Mathematica, you will have
access to a robust modeling environment that lets you test and explore
neural network models faster and easier than ever before.
The package comes with electronic documentation.
Neural Networks 1.2 requires
Mathematica 9 or 10 and is available for all
Mathematica platforms.

