Structure and Constraint in Discrete Adaptive Networks
Sponsor
National Science Foundation
Published In
4th Symposium on Adaptive Processes, SAP 1965
Document Type
Citation
Publication Date
1-1-1965
Abstract
Whether arrived at by chance or by design, any network of adaptive logic elements starts with a fixed structure. Attendant with a fixed structure are constraints on performance capabilities. Any task such a network is to learn will be performed in some input environment, and in most practical situations the environment itself will be constrained. These latter constraints imply the existence of certain relationships among the inputs. It is held that for the net to perform any given task well, the structure of the net must be matched to the relationships in the environment which are pertinent to the task. This paper discusses these ideas and presents an approach, which uses the theory of decomposition of switching functions, for matching the structure of a network with the constraints in the environment pertinent to the task.
Locate the Document
DOI
10.1109/SAP.1965.4043662
Persistent Identifier
https://archives.pdx.edu/ds/psu/37324
Citation Details
Lendaris, G. G., & Stanley, G. L. (1965, October). Structure and constraint in discrete adaptive networks. In Fourth Symposium on Adaptive Processes (pp. 500-505). IEEE.