V. Kecman

发表

Convolutional decoders based on artificial neural networks

S.M. Berber, V. Kecman, 2004, 2004 IEEE International Joint Conference on Neural Networks (IEEE Cat. No.04CH37541).

Real time supervision of diesel engine injection with RBF-based neural networks

Steffen Leonhardt, V. Kecman, H. Gao, 1995, Proceedings of 1995 American Control Conference - ACC'95.

Blind Multi-User Detection of a Chaos-Based CDMA System Using Support Vector Machine

S.M. Berber, V. Kecman, J. Kao, 2008, 2008 IEEE 10th International Symposium on Spread Spectrum Techniques and Applications.

Data assimilation using recurrent radial basis function neural network model

V. Kecman, Z. Vojinovic, 2003, The 3rd International Workshop on Scientific Use of Submarine Cables and Related Technologies, 2003..

Basics of Machine Learning by Support Vector Machines

V. Kecman, V. Kecman, 2005 .

ON THE CONTROL OF THE FLEXIBLE MANIPULATOR ARM

Joško Petrić, V. Kecman, 1992 .

System identification using modular neural network with improved learning

V. Kecman, V. Kecman, 1996, Proceedings of International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing.

Learning in an adaptive backthrough control structure

V. Kecman, 1997, Proceedings of 3rd International Conference on Algorithms and Architectures for Parallel Processing.

On the Control of the Flexible Manipulator ARM

Joško Petrić, V. Kecman, 1991 .

Nonlinearity of Dynamic Processes in a Drum Boiler Circulation Loop

V. Kecman, 1984 .

Eigenvector approach for optimal control of singularly perturbed and weakly coupled linear systems

V. Kecman, S. Bingulac, 1998, Proceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207).

Feature ranking for pattern recognition: A comparison of filter methods

V. Kecman, E. Test, R. Strack, 2012, 2012 Proceedings of IEEE Southeastcon.

On the exact decomposition of algebraic Riccati equation of nonstandard singularly perturbed control systems

V. Kecman, Z. Gajic, 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

Support vector machines trained by linear programming: theory and application in image compression and data classification

V. Kecman, I. Hadzic, V. Kecman, 2000, Proceedings of the 5th Seminar on Neural Network Applications in Electrical Engineering. NEUREL 2000 (IEEE Cat. No.00EX287).