JGod is a Java-based neural network evolution software, with distributed computing support. It includes Tic-Tac-Toe and Go as games for the networks, with the ability to export to XML.
JGod is a Java-based software that utilizes neural networks and genetic algorithms for evolution. This software also supports distributed computing through a peer-to-peer system. The neural networks developed through JGod have the ability to play games such as Tic-Tac-Toe and Go.
One of the key features of JGod is its export functionality to XML, providing a convenient way to transfer information and data between different platforms. This software is ideal for those who require efficient and accurate neural networks that can be trained and evolved over time through genetic algorithms.
Overall, JGod offers an impressive range of functions and features that make it a powerful and versatile tool for developers and researchers working with neural networks.
One of the key features of JGod is its export functionality to XML, providing a convenient way to transfer information and data between different platforms. This software is ideal for those who require efficient and accurate neural networks that can be trained and evolved over time through genetic algorithms.
Overall, JGod offers an impressive range of functions and features that make it a powerful and versatile tool for developers and researchers working with neural networks.
What's New
Version 0.93 Beta: N/A