Weighted Nodes and RAM-Nets: A Unified Approach
KEVIN N. GURNEY · Journal of Intelligent Systems · 1992
A general model of so-called 'RAM-based nodes' which uses continuous sites values on the hypercube and processes analogue inputs is developed.A closed expression is given for the node's functionality and is shown to be equivalent to that for the sigma-pi nodes described by Rumelhart and McClleland (1986) of which, the customary semilinear units or TLUs are a subset.This is one of several points of contact developed between RAM-based nodes and those that use sums of weights of input terms.Points of contrast are also discussed in the context of generalisation, training and implementation.It is shown that the models may be instantiated with time stochastic processing and RAM implementations realised by quantising the site values.