Chapter 19. Multilayer Perceptrons
Multilayer perceptrons (MLPs) are another kind of artificial neural network, with layers of weighted connections between the inputs and outputs. The structure of MLP essentially resembles a set of cascaded perceptrons. Each processing unit has a relatively complex output function, which increases the capabilities of the network.
This chapter builds upon the information in Chapter 17, "Perceptrons," which covered single-layer perceptrons. This chapter covers the following topics:
Perceptrons with multiple layers can recognize patterns in the gameplay, predict the outcome of a fight, and control the nonplayer character (NPC) movement. These tasks can be learned from a set of examples, and with potentially better performance than single-layer perceptrons.