C# Class SharpNeat.Phenomes.NeuralNets.CyclicNetwork

This class is provided for debugging and educational purposes. FastCyclicNetwork is functionally equivalent and is much faster and therefore should be used instead of CyclicNetwork in most circumstances. A neural network class that represents a network with recurrent (cyclic) connections. Recurrent connections are handled by each neuron storing two values, a pre- and post-activation value (InputValue and OutputValue). This allows us to calculate the output value for the current iteration/timestep without modifying the output values from the previous iteration. That is, we calculate all of this timestep's state based on state from the previous timestep. When activating networks of this class the network's state is updated for a fixed number of timesteps, the number of which is specified by the maxIterations parameter on the constructor. See RelaxingCyclicNetwork for an alternative activation scheme.