Search Results - "Feedforward algorithm"

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  1. 1

    FEEDFORWARD ALGORITHMS WITH SIMPLIFIED PLANT MODEL FOR ACTIVE NOISE CONTROL by Pawelczyk, M

    ISSN: 0022-460X, 1095-8568
    Published: London Elsevier Ltd 01.08.2002
    Published in Journal of sound and vibration (01.08.2002)
    “… Such an approach reveals significant drawbacks if paths of the plant are subject to change. Estimation of so many plant models and control filter coefficients is very slow and time consuming…”
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    Journal Article
  2. 2

    Study of improved pilot performance using automatic collision avoidance for tele-operated unmanned aerial vehicles by Leang, Kam K., Abbott, Jake J., van den Berg, Jur, Bareiss, Daman

    Published: IEEE 01.10.2016
    “… To quantify the improvement in pilot performance compared to other methods, human-subject studies were conducted using a simulated…”
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    Conference Proceeding
  3. 3

    Two phases of V1 activity for visual recognition of natural images by Camprodon, Joan A, Zohary, Ehud, Brodbeck, Verena, Pascual-Leone, Alvaro

    ISSN: 1530-8898, 1530-8898
    Published: United States 01.06.2010
    Published in Journal of cognitive neuroscience (01.06.2010)
    “… In particular, data describing the sufficiency of feedforward algorithms for conscious vision and studies revealing the functional relevance of feedback connections to the striate cortex seem…”
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    Journal Article
  4. 4

    Feed-forward algorithms for time-optimal settling of hard disk drive servo systems by Yuhong Huang, Messner, W.C., Steele, J.

    ISBN: 9780780339323, 0780339320
    Published: IEEE 1997
    “…This paper presents novel time-optimal feedforward algorithms for a disk drive servo system with rotary actuator…”
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    Conference Proceeding
  5. 5

    Supervised Generative Reconstruction: An Efficient Way To Flexibly Store and Recognize Patterns by Achler, Tsvi

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 23.06.2012
    Published in arXiv.org (23.06.2012)
    “… Feedforward recognition algorithms such as classical artificial neural networks and machine learning algorithms are known to be subject to catastrophic interference and forgetting…”
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    Paper