| 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 | 89 | 2002 |
| 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 | 68 | 1998 |
| 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 | 62 | 2002 |
| Solving regression problems using competitive ensemble models Y Frayman, BF Rolfe, GI Webb Australian Joint Conference on Artificial Intelligence, 511-522, 2002 | 46 | 2002 |
| 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 | 42 | 2012 |
| Machine vision system for automatic inspection of surface defects in aluminum die casting Y Frayman, H Zheng, S Nahavandi Deakin University, 2006 | 33 | 2006 |
| 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 | 26 | 2002 |
| 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 | 18 | 2007 |
| 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 | 18 | 1999 |
| 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 | 16 | 2006 |
| A loop-shaping approach to intelligent control Y Frayman, BF Rolfe Proc. 24th IASTED International Conference on Modelling, Identification and …, 2005 | 16 | 2005 |
| 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 | 15 | 2005 |
| 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 | 15 | 2002 |
| 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 | 13 | 2006 |
| 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 | 9 | 1997 |
| 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 | 6 | 2011 |
| Predicting the rolling force in hot steel rolling mill using an ensemble model Y Frayman, B Rolfe, P Hodgson, G Webb Deakin University, 2002 | 6 | 2002 |
| Torsionsl Vibration Control of Tandem Cold Rolling Mill Spindles: A Fllzzy Neural Approach Y Frayman Proc. IPMM'97, 89-91, 1997 | 6 | 1997 |
| Direct MRAC with dynamically constructed neural controllers Y Frayman, L Wang IJCNN'99. International Joint Conference on Neural Networks. Proceedings …, 1999 | 5 | 1999 |
Geoff WebbProfessor, Department of Data Science and Artificial Intelligence, Monash University在 monash.edu 的电子邮件经过验证
