Node Class

This class is responsible for managing all hidden nodes and most of the functionality behind other node types that inherit it.

Node .new(string activeName, number bias=0, number learningRate=0.1) Creates and returns the Node with the given activation function, bias, and learning rate.

void :() Fires the node and fires any node that is at it's output, potentially causing a chain reaction.

This function is fired when the Node object is called, such as:

node:()

number :GetValue() Returns the node's output value if calculated. If not, calculates it and returns the new output value.

void :SetValue(number value) Sets the node's output value to !value!.

number :CalculateValue() Calculates and sets the node's new output value while also returning it.

void :ClearValue() Resets the node's output value.

void :AddInputSynapse(Synapse inputSynapse) Adds the synapse !inputSynapse! as an input synapse.

void :AddOutputSynapse(Synapse outputSynapse) Adds the synapse !outputSynapse! as an output synapse.

array :GetInputSynapses() Returns the input synapses.

array :GetOutputSynapses() Returns the output synapses.

void :RemoveInputSynapse(Synapse inputSynapse) Removes the input synapse !inputSynapse!.

void :RemoveOutputSynapse(Synapse outputSynapse) Removes the output synapse !inputSynapse!.

void :ClearInputSynapses() Removes all input synapses.

void :ClearOutputSynapses() Removes all output synapses.

void :SetBias(number bias) Sets the node's bias to !bias!.

number :GetBias() Returns the node's bias.

void :AddBias(number biasDelta) Adds !biasDelta! to the noder's bias.

void :SetLearningRate(number learningRate) Sets the node's learning rate to !learningRate!.

number :GetLearningRate() Returns the node's learning rate.

ActivationFunction :GetActivationFunction() Returns the node's ActivationFunction object.

void :AddRandomNoise(number min, number max) Adds random noise to the node's bias and input weights with the given minimum !min! and maximum !max!.