Title :
Continuous inference networks for autonomous systems
Author :
Stover, James A. ; Gibson, Ronald E.
Author_Institution :
Appl. Res. Lab., Pennsylvania State Univ., State College, PA, USA
Abstract :
The authors describe a structure for establishing the existence of fuzzy properties or patterns from a hierarchical sequence of fuzzy subproperties. The structure, referred to as a continuous inference network, consists of nodes that combine information of differing degrees of significance as well as differing degrees of existence. A discussion of characteristics of node transfer functions needed in the autonomous underwater vehicle/remotely operated vehicle (AUV/ROV) controller software and integration with neural network subsystems is included
Keywords :
fuzzy logic; inference mechanisms; marine systems; mobile robots; neural nets; signal processing; transfer functions; AVG-BOP; autonomous underwater vehicle; continuous inference network; controller software; fuzzy patterns; fuzzy properties; fuzzy subproperties; neural nets; neural network subsystems; node transfer functions; remotely operated vehicle; sensor fusion; Data mining; Educational institutions; Humans; Laboratories; Neural networks; Physics; Remotely operated vehicles; Sensor phenomena and characterization; Signal generators; Signal processing;
Conference_Titel :
Neural Networks for Ocean Engineering, 1991., IEEE Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-0205-2
DOI :
10.1109/ICNN.1991.163348
