Authors:
Tae- Su Jnag
1
;
Kwan-Woong Kim
2
and
Yong K. Kim
1
Affiliations:
1
WonKwang University, Korea, Republic of
;
2
Korea Atomic Energy Research Institute, Korea, Republic of
Keyword(s):
Optical Fibre Sensor, Neural Network, Controlling Chaos, Instability, Optical Processing.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Biomedical Signal Processing
;
Computational Intelligence
;
Data Manipulation
;
Health Engineering and Technology Applications
;
Human-Computer Interaction
;
Methodologies and Methods
;
Neural Networks
;
Neurocomputing
;
Neurotechnology, Electronics and Informatics
;
Pattern Recognition
;
Physiological Computing Systems
;
Reasoning on Sensor Data
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Theory and Methods
Abstract:
In this paper the neuron operation based on neural network in optical fibre system has described. The inherent feedback wave in optical fibre leads to instabilities in the form of optical chaos. Below threshold value temporal evolution has periodic and can become chaotic condition. Controlling of chaotic induced transient instability in Brillouin fibre sensor has been implemented with Kerr nonlinearity with 13GHz backward shift, IR detector with 20ps impulse response, and ~10ns round trip time in optical network. The detected sensor has up-shifted in frequency by about ~20MHz from sensing target. The Controlling chaotic instabilities can lead to stable and periodical states; create optical logic data streams. It can lead to large optical memory capacity in neural networks.