A two layer network using the OR/AND neuron

Abstract

Revisits the concept of logical connectives in neural network-based form through the use of the OR/AND neuron. One layer implementations have been achieved previously. Here, the two layer learning rules are derived by hand and implemented using Matlab. Networks of varying hidden layer complexity are then used to model the kinematics of a 3 DOF robotic arm.