Yakov Frayman

发表

Multiple Actuator Fault Tolerance for Static Nonlinear Systems Based on Minimum Velocity Jump

Saeid Nahavandi, Zoran Najdovski, Hamid Abdi, 2011 .

An automated machine vision system for surface inspection of aircraft

Saeid Nahavandi, Yakov Frayman, 2007 .

Knowledge Extraction from a Mixed Transfer Function Artificial Neural Network

Saeid Nahavandi, Yakov Frayman, M. Imad Khan, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Predicting the rolling force in hot steel rolling mill using an ensemble model

Geoffrey I. Webb, Yakov Frayman, Bernard Rolfe, 2002 .

Direct MRAC with dynamically constructed neural controllers

Yakov Frayman, Lipo Wang, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

A fuzzy neural network for data mining: dealing with the problem of small disjuncts

Kai Ming Ting, Yakov Frayman, Lipo Wang, 1999, IJCNN'99. International Joint Conference on Neural Networks. Proceedings (Cat. No.99CH36339).

Recognition of Lubrication Defects in Cold Forging Process with a Neural Network

Saeid Nahavandi, Yakov Frayman, Bernard Rolfe, 2006 .

Modelling of porosity defects in high pressure die casting with a neural network

Saeid Nahavandi, Yakov Frayman, Imad M. Khan, 2003 .

A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlinear processes

Yakov Frayman, Lipo Wang, Lipo Wang, 2002, Soft Comput..

Quality control of high pressure die casting using a neural network

Saeid Nahavandi, Yakov Frayman, M. Imad Khan, 2005 .

Mixed transfer function neural networks for knowledge acquisition

Saeid Nahavandi, Yakov Frayman, M. Imad Khan, 2009, 2009 IEEE International Conference on Industrial Technology.

Optimal mapping of joint faults into healthy joint velocity space for fault-tolerant redundant manipulators

Anthony A. Maciejewski, Saeid Nahavandi, Hamid Abdi, 2011, Robotica.

Improving an inverse model of sheet metal forming by neural network based regression

Geoffrey I. Webb, Yakov Frayman, Bernard Rolfe, 2002 .

A loop-shaping approach to intelligent control

Yakov Frayman, Bernard Rolfe, 2005 .

Improving Casthouse Throughput Using Discrete-Event Modelling

Yakov Frayman, Bruce Gunn, 2011 .

Eccentricity and hardness control in cold rolling mills with a dynamically constructed neural controller

Yakov Frayman, Bernard Rolfe, 2003 .

Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks

Yakov Frayman, Lipo Wang, Lipo Wang, 1998, PAKDD.

Distributed battle space modelling for decision support

Saeid Nahavandi, Yakov Frayman, 2007 .

Machine Vision System for Automatic Inspection of Surface Defects in Aluminum Die Casting

Saeid Nahavandi, Hong Zheng, Yakov Frayman, 2006, J. Adv. Comput. Intell. Intell. Informatics.

Adaptive Control of the Closed Loop Behaviour of Manufacturing Processes

Tim Wilkin, Yakov Frayman, Bernard Rolfe, 2006 .

3D depth estimation for visual inspection using wavelet transform modulus maxima

Saeid Nahavandi, Yakov Frayman, Asim Bhatti, 2007, Comput. Electr. Eng..

IMPROVING THE QUALITY OF DIE CASTINGS BY USING ARTIFICIAL NEURAL NETWORKS FOR POROSITY DEFECT MODELLING

Saeid Nahavandi, Yakov Frayman, M. Imad Khan, 2003 .

Fault detection in a cold forging process through feature extraction with a neural network

Yakov Frayman, Bernard Rolfe, Peter Hodgson, 2002 .

Machine vision system for automatic inspection of surface defects in aluminium die casting

Saeid Nahavandi, Yakov Frayman, Hong Zheng, 2004 .

Press shop machine analysis and trending

Yakov Frayman, Bernard Rolfe, Peter Hodgson, 2003 .

Analysis of stamping production data with view towards quality management

Yakov Frayman, Bernard Rolfe, Peter Hodgson, 2003 .

Improving the prediction of the roll separating force in a hot steel finishing mill

Geoffrey I. Webb, Yakov Frayman, Peter Hodgson, 2003 .

A dynamically generated fuzzy neural network and its application to torsional vibration control of tandem cold rolling mill spindles

Yakov Frayman, Lipo Wang, 2002 .

Solving Regression Problems Using Competitive Ensemble Models

Geoffrey I. Webb, Yakov Frayman, Bernard F. Rolfe, 2002, Australian Joint Conference on Artificial Intelligence.

Cold rolling mill thickness control using the cascade-correlation neural network

Chunru Wan, Yakov Frayman, Lipo Wang, 2002 .

High-pressure die-casting process modeling using neural networks

Saeid Nahavandi, Yakov Frayman, M. Imad Khan, 2006 .