Year |
Citation |
Score |
2011 |
Ishihara AK, Van Doornik J, Ben-Menahem S. Control of robots using radial basis function neural networks with dead-zone International Journal of Adaptive Control and Signal Processing. 25: 613-638. DOI: 10.1002/acs.1226 |
0.331 |
|
2010 |
Ben-Pazi H, Ishihara A, Kukke S, Sanger TD. Increasing viscosity and inertia using a robotically controlled pen improves handwriting in children. Journal of Child Neurology. 25: 674-80. PMID 19794098 DOI: 10.1177/0883073809342592 |
0.402 |
|
2010 |
Ishihara AK, Van Doornik J, Ben-Menahem S. Stochastic stability of a neural-net robot controller subject to signal-dependent noise in the learning rule International Journal of Adaptive Control and Signal Processing. 24: 445-466. DOI: 10.1002/acs.1136 |
0.307 |
|
2009 |
Ishihara AK, Al-Ali K, Adami T, Kulkarni N, Nguyen N. Modeling error driven robot control Aiaa Infotech At Aerospace Conference and Exhibit and Aiaa Unmanned...Unlimited Conference. |
0.338 |
|
2008 |
Ishihara AK, Van Doornik J, Ben-Menahem S. Neural network robot control with noisy learning Ifac Proceedings Volumes (Ifac-Papersonline). 17. DOI: 10.3182/20080706-5-Kr-1001.01984 |
0.401 |
|
2007 |
Ishihara AK, Van Doornik J, Sanger TD. A direct measurement of internal model learning rates in a visuomotor tracking task Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4669: 39-48. |
0.448 |
|
2006 |
Ishihara AK, Van Doornik J, Sanger TD. Feedback error learning with basis function networks Ieee International Symposium On Intelligent Control - Proceedings. 2005-2011. DOI: 10.1109/ISIC.2006.285644 |
0.473 |
|
2006 |
Van Doornik J, Ishihara A, Sanger TD. Uniform boundedness of feedback error learning for a class of stochastic nonlinear systems 9th International Conference On Control, Automation, Robotics and Vision, 2006, Icarcv '06. DOI: 10.1109/ICARCV.2006.345252 |
0.457 |
|
2006 |
Ishihara AK, Van Doornik J, Sanger TD. Failure modes in feedback error learning Ieee International Conference On Neural Networks - Conference Proceedings. 277-284. |
0.465 |
|
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