This simulates a two-input perceptron, a neural network
with one neuron.
Input data is generated by a combat simulator where
the game statistics for the opponent are randomly generated
with each fight.
By examining the opponents defensive armor level and amount
of health, the perceptron must attempt to predict whether
the combat will end in victory or defeat.
The line on the plot represents the current threshold decision
level.
The last 30 combats are plotted as points as a visual
aid for you to gauge the performance of the perceptron.
The red dots indicate defeat, green victory.
The perceptron does not remember past combats other than the
impression they left in its two synaptic weights.
Over time, the threshold decision level will settle as the
perceptron learns.
Click your mouse to start and stop the thread from running.