A Java Framework For Complex-Valued Artificial Neural Networks
JACVANN is an open source java framework for complex-valued artificial neural networks.
It provides learning algorithms as well as evaluation methods for complex-valued classification problems.
Additionally real-valued problems can directly be applied to the complex network using
input-encoding-functions and output-functions designed to handle real values.
This website provide an illustrated help for users of the gui-version of JACVANN and JAVCANN.bs,
a scripting language to automate processes.
Software and further documentation can be downloaded at the download section