Neurak is an environment for development and application of artificial neural networks. It is extremely easy to use, even for those who don't have a theorical knowledge about neural networks. The tutorials and on-line help will teach you to create and use neural networks in a few minutes.
An optimized training algorithm and an efficient computational implementation provide a very fast training time.
It is also provided an API and a C++ class to load and use the neural networks developed in Neurak in your own programs.

Neurak guides you through seven steps from the specification to the application of the neural networks.

	First you specify the Number of Inputs and Outputs of the system.
	Then, choose the patterns for the training and for generalization tests.
	Let Neurak search for ambiguous patterns.
	Set the training parameters...
	...and start the learning process.
	You can perform validation and generalization tests.
	When your neural networks are done, export the files you need.
	Then you can choose to use the neural networks in the simulator Neurak Sim or write your own programs using the Neurak API or C++ class.