Näytetään 1 631 - 1 640 yhteensä 1 674 tuloksesta haulle '"Identification"', hakuaika: 0,02s Tarkenna hakua
  1. 1631

    Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging. Tekijä Xiaojian Xu

    Artikkeli

    Range sidelobe suppression technique for coherent ultra wide-band random noise radar imaging.
  2. 1632

    Designing a positioning system for finding things and people indoors. Tekijä Werb, J.

    Julkaisussa IEEE spectrum
    Artikkeli

    Designing a positioning system for finding things and people indoors.
  3. 1633

    Four value-adding algorithms. Tekijä Even, S.

    Julkaisussa IEEE spectrum
    Artikkeli

    Four value-adding algorithms.
  4. 1634

    Early probabilistic noise estimation for capacitively coupled interconnects. Tekijä Becer, M.R

    Artikkeli

    Early probabilistic noise estimation for capacitively coupled interconnects.
  5. 1635

    A Possibilistic Fuzzy c-Means Clustering Algorithm. Tekijä Pal, N.R

    Artikkeli

    A Possibilistic Fuzzy c-Means Clustering Algorithm.
  6. 1636

    Strategies to identify fuzzy rules directly from certainty degrees a comparison and a proposal. Tekijä Carmona, P.

    Artikkeli

    Strategies to identify fuzzy rules directly from certainty degrees a comparison and a proposal.
  7. 1637

    Fuzzy identification using fuzzy neural networks with stable learning algorithms. Tekijä Wen Yu

    Artikkeli

    Fuzzy identification using fuzzy neural networks with stable learning algorithms.
  8. 1638

    Modeling, identification, and control of a class of nonlinear systems. Tekijä Zhang Huaguang

    Artikkeli

    Modeling, identification, and control of a class of nonlinear systems.
  9. 1639

    New trends in recognizing experimental drives fuzzy logic and formal language theories. Tekijä Martins, J.E

    Artikkeli

    New trends in recognizing experimental drives fuzzy logic and formal language theories.
  10. 1640

    Cluster analysis of gene expression data based on self-splitting and merging competitive learning. Tekijä Shuanhu Wu

    Artikkeli

    Cluster analysis of gene expression data based on self-splitting and merging competitive learning.

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