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akaturk Akademik ölçüm

OpenAlex konusu

Neural Networks and Applications

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 3.353 eser 242 yazar konusu

Çalışmalar

3.353 eser

  1. OpenAlex üst %1 OpenAlex 100.0%

    In recent years, several methods have been proposed to combine multiple kernels instead of using a single one. These different kernels may correspond to using different notions of similarity or may be using information coming from multiple sources (different representations or different feature subsets). In trying to…

  2. YÖKSİS JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    A multilayer neural-net (NN) controller for a general serial-link rigid robot arm is developed. The structure of the NN controller is derived using a filtered error/passivity approach. No off-line learning phase is needed for the proposed NN controller and the weights are easily initialized. The nonlinear nature of th…

  3. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    Özet henüz yok.

  4. YÖKSİS JCR Q1 OpenAlex üst %1 OpenAlex 99.8%

    A neural net (NN) controller for a general serial-link robot arm is developed. The NN has two layers so that linearity in the parameters holds, but the "net functional reconstruction error" and robot disturbance input are taken as nonzero. The structure of the NN controller is derived using a filtered error/passivity…

  5. OpenAlex üst %1 OpenAlex 99.8%

    International audience

  6. YÖKSİS SJR Q2 JCR Q3 OpenAlex üst %10 OpenAlex 94.0%

    Özet henüz yok.

  7. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.9%

    Özet henüz yok.

  8. YÖKSİS OpenAlex üst %10 OpenAlex 97.2%

    Özet henüz yok.

  9. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %10 OpenAlex 98.2%

    Artificial neural networks (ANNs) are used for land cover classification using remotely sensed data. Training of a neural network requires that the user specifies the network structure and sets the learning parameters. In this study, the optimum design of ANNs for classification problems is investigated. Heuristics pr…

  10. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

  11. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.3%

    Özet henüz yok.

  12. YÖKSİS SJR Q1 JCR Q1 OpenAlex üst %1 OpenAlex 99.2%

    Özet henüz yok.

Akademisyenler

242 akademisyen