A hybrid neural network-fuzzy logic architecture for multisensor data fusion in target tracking system

Proceedings on Intelligent Systems and Knowledge Engineering (ISKE2007) ◽

10.2991/iske.2007.208 ◽

2007 ◽

Author(s):

Xiu Wang ◽

Jian Rong ◽

Xiaochun Zhong

Keyword(s):

Neural Network ◽

Fuzzy Logic ◽

Data Fusion ◽

Target Tracking ◽

Tracking System ◽

Hybrid Neural Network ◽

Multisensor Data Fusion ◽

Multisensor Data

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A multisensor data fusion-based target tracking system

2002 IEEE International Conference on Industrial Technology, 2002. IEEE ICIT '02. ◽

10.1109/icit.2002.1189934 ◽

2003 ◽

Cited By ~ 3

Author(s):

N. Mort ◽

P. Prajitno

Keyword(s):

Data Fusion ◽

Target Tracking ◽

Tracking System ◽

Multisensor Data Fusion ◽

Multisensor Data

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A Neural Network-based Multisensor Data Fusion Approach for Enabling Situational Awareness of Vehicles

2020 International Conference on Pervasive Artificial Intelligence (ICPAI) ◽

10.1109/icpai51961.2020.00044 ◽

2020 ◽

Author(s):

Albert Budi Christian ◽

Chih-Yu Lin ◽

Cheng-Wei Lee ◽

Lan-Da Van ◽

Yu-Chee Tseng

Keyword(s):

Neural Network ◽

Data Fusion ◽

Situational Awareness ◽

Multisensor Data Fusion ◽

Fusion Approach ◽

Multisensor Data

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A Hybrid Method in Driver and Multisensor Data Fusion, Using a Fuzzy Logic Supervisor for Vehicle Intelligence

2007 International Conference on Sensor Technologies and Applications (SENSORCOMM 2007) ◽

10.1109/sensorcomm.2007.4394953 ◽

2007 ◽

Cited By ~ 2

Author(s):

Mahdi Rezaei Ghahroudi ◽

Alireza Fasih

Keyword(s):

Fuzzy Logic ◽

Data Fusion ◽

Hybrid Method ◽

Multisensor Data Fusion ◽

Multisensor Data

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Hybrid Kalman filter-fuzzy logic adaptive multisensor data fusion architectures

42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475) ◽

10.1109/cdc.2003.1272465 ◽

2004 ◽

Cited By ~ 18

Author(s):

P.J. Escamilla-Ambrosio ◽

N. Mort

Keyword(s):

Fuzzy Logic ◽

Kalman Filter ◽

Data Fusion ◽

Multisensor Data Fusion ◽

Multisensor Data

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Multirate multisensor data fusion for linear systems using Kalman filters and a neural network

Aerospace Science and Technology ◽

10.1016/j.ast.2014.06.005 ◽

2014 ◽

Vol 39 ◽

pp. 465-471 ◽

Cited By ~ 38

Author(s):

Sajjad Safari ◽

Faridoon Shabani ◽

Dan Simon

Keyword(s):

Neural Network ◽

Data Fusion ◽

Linear Systems ◽

Kalman Filters ◽

Multisensor Data Fusion ◽

Multisensor Data

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Multisensor data fusion based on the fuzzy neural network in nondestructive testing

ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357) ◽

10.1109/icecs.1999.813206 ◽

2003 ◽

Author(s):

Zhaoli Zheng ◽

Shenghe Su

Keyword(s):

Neural Network ◽

Nondestructive Testing ◽

Data Fusion ◽

Fuzzy Neural Network ◽

Multisensor Data Fusion ◽

Fuzzy Neural ◽

Multisensor Data

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An autonomous fuzzy logic architecture for multisensor data fusion

Proceedings of 1994 IEEE International Conference on MFI '94. Multisensor Fusion and Integration for Intelligent Systems ◽

10.1109/mfi.1994.398450 ◽

2002 ◽

Cited By ~ 8

Author(s):

R.E. Gibson ◽

D.L. Hall ◽

J.A. Stover

Keyword(s):

Fuzzy Logic ◽

Data Fusion ◽

Multisensor Data Fusion ◽

Multisensor Data

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In-line Measurement System of Bore Well Mud Viscosity Based on Multisensor Data Fusion with Wavelet Neural Network

International Journal of Advancements in Computing Technology ◽

10.4156/ijact.vol5.issue5.120 ◽

2013 ◽

Vol 5 (5) ◽

pp. 1011-1018

Author(s):

Jingwen Tian ◽

Meijuan Gao ◽

Guangshuang Ge

Keyword(s):

Neural Network ◽

Data Fusion ◽

Measurement System ◽

Wavelet Neural Network ◽

Multisensor Data Fusion ◽

Line Measurement ◽

Multisensor Data ◽

Bore Well

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Multisensor data fusion of motion monitoring system based on BP neural network

The Journal of Supercomputing ◽

10.1007/s11227-019-03015-0 ◽

2019 ◽

Vol 76 (3) ◽

pp. 1642-1656 ◽

Cited By ~ 1

Author(s):

Shuxin Wang

Keyword(s):

Neural Network ◽

Data Fusion ◽

Monitoring System ◽

Bp Neural Network ◽

Multisensor Data Fusion ◽

Multisensor Data

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Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2020.106861 ◽

2020 ◽

Vol 144 ◽

pp. 106861 ◽

Cited By ~ 10

Author(s):

Moslem Azamfar ◽

Jaskaran Singh ◽

Inaki Bravo-Imaz ◽

Jay Lee

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Data Fusion ◽

Convolutional Neural Network ◽

Signature Analysis ◽

Multisensor Data Fusion ◽

Motor Current ◽

Motor Current Signature Analysis ◽

Current Signature ◽

Multisensor Data

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