يعرض 1 - 20 نتائج من 353 نتيجة بحث عن '(( algorithm machine function ) OR ((( algorithms a function ) OR ( algorithm _ function ))))', وقت الاستعلام: 0.15s تنقيح النتائج
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    A New Penalty Function Algorithm For Convex Quadratic Programming حسب Bendaya, M.

    منشور في 2020
    "…In this paper, we develop an exterior point algorithm for convex quadratic programming using a penalty function approach. …"
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    article
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    Synthesis of MVL Functions - Part I: The Genetic Algorithm Approach حسب Sarif, Bambang

    منشور في 2006
    "…The search space is too large to be explored by deterministic algorithms. In this paper, a Genetic Algorithm based algorithm for synthesis of MVL functions is proposed. …"
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    article
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    Evolution Of Activation Functions for Neural Architecture Search حسب Nader, Andrew

    منشور في 2020
    "…However, to the best of our knowledge, the design of new activation functions has mostly been done by hand. In this work, we propose the use of a self-adaptive evolutionary algorithm that searches for new activation functions using a genetic programming approach, and we compare the performance of the obtained activation functions to ReLU. …"
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    masterThesis
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    Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms حسب Humna Khan (17541972)

    منشور في 2022
    "…The performance of three machine learning (ML) algorithms was assessed to predict the wild blueberry harvest losses on the ground. …"
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    Iterative Least Squares Functional Networks Classifier حسب Faisal, Kanaan A

    منشور في 2007
    "…The performance of this new intelligent systems scheme is demonstrated and examined using real-world applications. A comparative study with the most common classification algorithms in both machine learning and statistics communities is carried out. …"
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    article
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    Random vector functional link network: Recent developments, applications, and future directions حسب A.K. Malik (16003193)

    منشور في 2023
    "…To overcome these issues, randomization based neural networks such as random vector functional link (RVFL) network have been proposed. RVFL model has several characteristics such as fast training speed, direct links, simple architecture, and universal approximation capability, that make it a viable randomized neural network. …"
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    Using machine learning algorithm for detection of cyber-attacks in cyber physical systems حسب Almajed, Rasha

    منشور في 2022
    "…They have been exposed to cyberattacks because of their integration with an insecure network. In the event of a violation in internet security, an attacker was able to interfere with the system's functions, which might result in catastrophic consequences. …"
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    A fuzzy basis function network for generator excitation control حسب Abido, M.A.

    منشور في 1997
    "…A fuzzy basis function network (FBFN) based power system stabilizer (PSS) is presented in this paper. …"
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    article
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    Power System Transient Stability Assessment Based on Machine Learning Algorithms and Grid Topology حسب Senyuk, Mihail

    منشور في 2023
    "…In this study, the emergency control algorithms based on ensemble machine learning algorithms (XGBoost and Random Forest) were developed for a low-inertia power system. …"
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    article
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    Ensemble Deep Random Vector Functional Link Neural Network for Regression حسب Minghui Hu (2457952)

    منشور في 2022
    "…<p dir="ltr">Inspired by the ensemble strategy of machine learning, deep random vector functional link (dRVFL), and ensemble dRVFL (edRVFL) has shown state-of-the-art results on different datasets. …"
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    Online dynamic ensemble deep random vector functional link neural network for forecasting حسب Ruobin Gao (16003195)

    منشور في 2023
    "…<p>This paper proposes a three-stage online deep learning model for time series based on the ensemble deep random vector functional link (edRVFL). …"
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    Optimization of Interval Type-2 Fuzzy Logic System Using Grasshopper Optimization Algorithm حسب Saima Hassan (14918003)

    منشور في 2022
    "…The main objective of this paper is to apply GOA to estimate the optimal parameters of the Gaussian membership function in an IT2-FLS. The antecedent part parameters (Gaussian membership function parameters) are encoded as a population of artificial swarm of grasshoppers and optimized using its algorithm. …"
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