🚀 go-pugleaf

MS VC++, Visual Basic and FoxPro Neural Network COM
component allows you to develop naturally intelligent software!

NEURO.DLL is SIMPLE to use!
You don't have to be an expert to develop smart applications using NEURO.DLL
There are only 8 properties and methods to call!

Download a free VB example from our web site now! http://www.rgsoftware.com

What are Artificial Neural Networks?
Artificial neural networks are computational paradigms which implement
simplified models of their biological counterparts, biological neural
networks. Biological neural networks are the local assemblages of neurons
and their dendritic connections that form the (human) brain.

The implementation of neural networks for brain-like computations like
patterns recognition, decisions making, motory control and many others is
made possible by the advent of large scale computers in the late 1950's.

Conventional computers rely on programs that solve a problem using a
pre-determined series of steps, called algorithms. These programs are
controlled by a single, complex central processing unit, and store
information at specific locations in memory. Artificial neural networks use
highly distributed representations and transformations that operate in
parallel, have distributed control through many highly interconnected
neurons, and store their information in variable strength connections called
synapses, just like a human brain.

To train a neural network you must have a data set containing sample
parameters which corresponding to the results. The data used for training is
usually obtained using historical data in which the outcomes are known.

You can also train a neural network by creating sample problems and answers.
Once the training process is completed, the neural network will be able to
predict answers when new inputs are processed.

Cutting Edge Neural Network Technology

RG Software's neural network contains cutting edge technology that will give
you an almost unfair advantage over your competition at solving prediction,
estimation and other classification problems.

Our neural network components are easier to use than SVD, regression
analysis or any other technique.
Simply add our DLL to your Visual Basic, Visual C++ or Visual FoxPro
project and with just a few lines of code you're well on your way to
incorporating one of the bext neural networks in the industry.

Download a free VB example from our web site now! http://www.rgsoftware.com