يعرض 1 - 20 نتائج من 1,461 نتيجة بحث عن '(( elements method algorithm ) OR ((( good modeling algorithm ) OR ( neural coding algorithm ))))', وقت الاستعلام: 0.32s تنقيح النتائج
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    Pseudo-code for the study design model. حسب Jianpeng Zhang (528185)

    منشور في 2025
    الموضوعات:
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    GA pseudo-code. حسب Jianpeng Zhang (528185)

    منشور في 2025
    الموضوعات:
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    RF Algorithm error rate of the model. حسب Halit Tutar (20678455)

    منشور في 2025
    "…The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…"
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    Model surface plots in MARS algorithm. حسب Halit Tutar (20678455)

    منشور في 2025
    "…The experimental results show that the MARS algorithm is the most suitable model for predicting fresh herbage yield in sorghum x sudangrass hybrid, providing a good alternative to other data mining algorithms.…"
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    The genome coding scheme. حسب Wenbing Shi (5806160)

    منشور في 2025
    الموضوعات:
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    Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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    Element model generation method with geometric distribution errors حسب Yiqi Liu (21357815)

    منشور في 2025
    "…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …"
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    Spatial spectrum estimation for three algorithms. حسب Chuanxi Xing (20141665)

    منشور في 2024
    "…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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