Showing 1 - 20 results of 35 for search '(((( implementing mean algorithm ) OR ( element deer algorithm ))) OR ( neural coding algorithm ))', query time: 0.12s Refine Results
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    An Efficient Tabu Search Algorithm For The Single-Machine Mean Tardiness Problem by Bendaya, M.

    Published 2020
    “…In this paper, an efficient tabu search algorithm is prepared ibr solving the singlemachine mean tardiness problem. …”
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    article
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    Adaptive step-size sign least mean squares by Aldajani, M.A.

    Published 2004
    “…It is shown how the algorithm can be implemented with no real multiplication. …”
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    article
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    Optimized FPGA Implementation of PWAM-Based Control of Three—Phase Nine—Level Quasi Impedance Source Inverter by Syed Rahman (569240)

    Published 2019
    “…Since, PWAM control algorithm is more complex than PSCPWM, FPGA based implementation for PWAM control is discussed. …”
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    New Hardware Algorithms and Designs for Montgomery Modular Inverse Computation in Galois Fields GF(p) and GF(2n) by Gutub, Adnan

    Published 2002
    “…We suggest a new correction phase for a previously proposed almost Montgomery inverse algorithm to calculate the inversion in hardware. It is also presented how to obtain a fast hardware algorithm to compute the inverse by multi-bit shifting method. …”
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    masterThesis
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    Boosting the visibility of services in microservice architecture by Ahmet Vedat Tokmak (17773479)

    Published 2023
    “…Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. …”
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    Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

    Published 2022
    “…Thus, to identify the best load forecasting method in cluster microgrids, this article implements a variety of machine learning algorithms, including linear regression (quadratic), support vector machines, long short-term memory, and artificial neural networks (ANN) to forecast the load demand in the short term. …”
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    Design and simulation of superdirective adaptive antenna arrays by Dawoud, M.M.

    Published 1990
    “…The commonly used adaptive algorithms were compared and the LMS (least mean square) algorithm was selected for the simulation of the adaptive array system. …”
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    article
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    Cross entropy error function in neural networks by Nasr, G.E.

    Published 2002
    “…Forecasting performance measures such as mean square errors (MSE) and mean absolute deviations (MAD) are presented for both models.…”
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    conferenceObject