Encog

In this article we look at the structure of the Encog Flat Network. The Encog flat network is how Encog represents most neural networks, at the lowest level. This allows Encog to process neural networks with maximum speed. It also keeps the neural networks in a form that they can easily be sent to a GPU.

We just released version 1.1 of Encog for DotNet. This also includes a Workbench that allowed editing of Encog datafiles. This is a major update to the Encog Neural Network and Bot framework. v1.1 adds the Encog workbench, which is a GUI tool that can be used to edit the .EG files that Encog uses to save neural networks and training data. The workbench can be used to construct all neural network types that Encog supports, such as Hopfield, Feedforward, and Self Organizing Maps. Training can also be performed using the workbench.