A neural network produced by EasyNN-plus has two components. The components are the Node and the Connection. The components are duplicated to make the neural network. A Node consists of a Neuron with positioning and connecting information. A Connection consists of a Weight with node addressing information.
The Grid used by EasyNN-plus also has two components. These are the Example row and the Input/Output column. These are replicated to make the Grid.
All the component parts of EasyNN-plus are implemented as C++ reusable classes to simplify future development. The following information is a basic description of the classes.
The Neural Network
Positioning and connections