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Yakov Frayman
Yakov Frayman
Institute of Cybernetics, Behavioral Control and Dynamical Systems, Director
Verified email at alphalink.com.au
Title
Cited by
Cited by
Year
A dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles
L Wang, Y Frayman
Engineering Applications of Artificial Intelligence 15 (6), 541-550, 2002
892002
Data mining using dynamically constructed recurrent fuzzy neural networks
Y Frayman, L Wang
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 122-131, 1998
681998
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes
Y Frayman, L Wang
Soft Computing 6, 244-253, 2002
622002
Solving regression problems using competitive ensemble models
Y Frayman, BF Rolfe, GI Webb
Australian Joint Conference on Artificial Intelligence, 511-522, 2002
462002
Optimal mapping of joint faults into healthy joint velocity space for fault-tolerant redundant manipulators
H Abdi, S Nahavandi, Y Frayman, AA Maciejewski
Robotica 30 (4), 635-648, 2012
422012
Machine vision system for automatic inspection of surface defects in aluminum die casting
Y Frayman, H Zheng, S Nahavandi
Deakin University, 2006
332006
Improving an inverse model of sheet metal forming by neural network based regression
Y Frayman, BF Rolfe, GI Webb
International Design Engineering Technical Conferences and Computers and …, 2002
252002
3D depth estimation for visual inspection using wavelet transform modulus maxima
A Bhatti, S Nahavandi, Y Frayman
Computers & Electrical Engineering 33 (1), 48-57, 2007
182007
A fuzzy neural network for data mining: dealing with the problem of small disjuncts
Y Frayman, KM Ting, L Wang
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
181999
Recognition of lubrication defects in cold forging process with a neural network
BF Rolfe, Y Frayman, GL Kelly, S Nahavandi
Artificial Neural Networks in Finance and Manufacturing, 262-275, 2006
162006
A loop-shaping approach to intelligent control
Y Frayman, BF Rolfe
Proc. 24th IASTED International Conference on Modelling, Identification and …, 2005
162005
Eccentricity and Hardness Control in Cold Rolling Mills with a Dynamically Constructed Neural Controller
Y Frayman, B Rolfe
Intelligence in a Small Materials World, 199, 2005
152005
Cold rolling mill thickness control using the cascade-correlation neural network
Y Frayman, L Wang, C Wan
Control and Cybernetics 31 (2), 327-342, 2002
142002
Adaptive control of the closed loop behaviour of manufacturing processes
T Wilkin, Y Frayman, B Rolfe
Engineering Systems Design and Analysis 42509, 313-321, 2006
132006
A fuzzy neural approach to speed control of an elastic two-mass system
Y Frayman, L Wang
Proc. 1997 International Conference on Computational Intelligence and …, 1997
91997
457-199: A Loop-Shaping Approach to Intelligent Control
Y Frayman, BF Rolfe
MODELLING IDENTIFICATION AND CONTROL-PROCEEDINGS-, 103, 0
9
A class of optimal fault tolerant Jacobian for minimal redundant manipulators based on symmetric geometries
H Abdi, S Nahavandi, Y Frayman
2011 IEEE International Conference on Systems, Man, and Cybernetics, 1532-1537, 2011
62011
Predicting the rolling force in hot steel rolling mill using an ensemble model
Y Frayman, B Rolfe, P Hodgson, G Webb
Deakin University, 2002
62002
Torsionsl Vibration Control of Tandem Cold Rolling Mill Spindles: A Fllzzy Neural Approach
Y Frayman
Proc. IPMM'97, 89-91, 1997
61997
Direct MRAC with dynamically constructed neural controllers
Y Frayman, L Wang
IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999
51999
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