Abstract
In this paper a network will be considered an acyclic graph. It has several input nodes (inputs) and some (at least one) output nodes (outputs). The nodes of the network are characterized by fan-in (the number of incoming edges) and fan-out (the number of outgoing edges), while the network has a certain size (the number of nodes) and depth (the number of edges on the longest input to output path). If with each edge a synaptic weight is associated and each node computes the weighted sum of its inputs to which a nonlinear activation function is then applied (artificial neuron), the network is a neural network (NN). Similarly, a Boolean circuit (BC) is a network of gates implementing elementary Boolean functions (AND, OR, NOT).
Original language | English |
---|---|
Title of host publication | International Conference on Artificial Neural Networks |
DOIs | |
Publication status | Published - May 26 1994 |
Event | ICANN'94 - Sorrento, Italy Duration: May 26 1994 → … |
Conference
Conference | ICANN'94 |
---|---|
Period | 5/26/94 → … |