Neural Network Toolbox | ![]() ![]() |
Training Styles
In this section, we describe two different styles of training. In incremental training the weights and biases of the network are updated each time an input is presented to the network. In batch training the weights and biases are only updated after all of the inputs are presented.
![]() | Simulation With Concurrent Inputs in a Dynamic Network | Incremental Training (of Adaptive and Other Networks) | ![]() |