بدائل البحث:
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data fitting » data mining (توسيع البحث), data hiding (توسيع البحث)
element » elements (توسيع البحث)
learning algorithm » learning algorithms (توسيع البحث)
method algorithm » mould algorithm (توسيع البحث)
data fitting » data mining (توسيع البحث), data hiding (توسيع البحث)
element » elements (توسيع البحث)
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Genetic and heuristic algorithms for regrouping service sites. (c2000)
منشور في 2000احصل على النص الكامل
احصل على النص الكامل
masterThesis -
22
Deep learning-based user experience evaluation in distance learning
منشور في 2023"…More than 160,000 tweets, addressing conditions related to the major change in the education system, were gathered from Twitter social network and deep learning-based sentiment analysis models and topic models based on latent dirichlet allocation (LDA) algorithm were developed and analyzed. …"
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23
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24
A stochastic iterative learning control algorithm with application to an induction motor
منشور في 2004"…A recursive optimal algorithm, based on minimizing the input error covariance matrix, is derived to generate the learning gain matrix of a P-type ILC for linear discrete-time varying systems with arbitrary relative degree. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
25
Stochastic P-type/D-type iterative learning control algorithms
منشور في 2003"…This paper presents stochastic algorithms that compute optimal and sub-optimal learning gains for a P-type iterative learning control algorithm (ILC) for a class of discrete-time-varying linear systems. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
article -
26
On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise
منشور في 2005"…Higher-Order Iterative Learning Control (HO-ILC) algorithms use past system control information from more than one past iterative cycle. …"
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احصل على النص الكامل
احصل على النص الكامل
احصل على النص الكامل
conferenceObject -
27
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28
Wild Blueberry Harvesting Losses Predicted with Selective Machine Learning Algorithms
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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29
A reduced model for phase-change problems with radiation using simplified PN approximations
منشور في 2025"…The integro-differential equation for the full radiative transfer is replaced by a set of differential equations which are independent of the angle variable and easy to solve using conventional computational methods. To solve the coupled equations, we implement a second-order implicit scheme for the time integration and a mixed finite element method for the space discretization. …"
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article -
30
Learning-Based Automatic Modulation Classification
منشور في 2015احصل على النص الكامل
doctoralThesis -
31
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32
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33
Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization
منشور في 2022"…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …"
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34
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35
Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning
منشور في 2024احصل على النص الكامل
doctoralThesis -
36
Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices
منشور في 2016الموضوعات: احصل على النص الكامل
doctoralThesis -
37
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38
Brain Source Localization in the Presence of Leadfield Perturbations
منشور في 2015احصل على النص الكامل
doctoralThesis -
39
Methodology for Analyzing the Traditional Algorithms Performance of User Reviews Using Machine Learning Techniques
منشور في 2020"…In this research, different machine-learning algorithms such as logistic regression, random forest and naïve Bayes were tuned and tested. …"
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40
Distributed DRL-Based Downlink Power Allocation for Hybrid RF/VLC Networks
منشور في 2021"…Our simulation results show that the distributed DDPG-based algorithm learns to adapt against changes in the channel or user requirements, while centralized Genetic Algorithm and Particle Swarm Optimization-based algorithms fail to endure against these changes even with coordination between APs. …"