Title :
Category theory applied to neural modeling and graphical representations
Author :
Healy, Michael J.
Author_Institution :
13544 23rd Place NE, Seattle, WA, USA
Abstract :
Category theory can be applied to mathematically model the semantics of cognitive neural systems. Here, we employ colimits, functors and natural transformations to model the implementation of concept hierarchies in neural networks equipped with multiple sensors
Keywords :
category theory; mathematical morphology; neural nets; category theory; cognitive neural networks; colimits; functors; mathematical model; morphism; semantics; Mathematical model; Neural networks; Sensor phenomena and characterization; Signal generators;
Conference_Titel :
Neural Networks, 2000. IJCNN 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on
Conference_Location :
Como
Print_ISBN :
0-7695-0619-4
DOI :
10.1109/IJCNN.2000.861277
