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1
A dynamic ensemble learning algorithm for neural networks
A dynamic ensemble learning algorithm for neural networks
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A dynamic ensemble learning algorithm for neural networks

Neural computing & applications, 2020-06, Vol.32 (12), p.8675-8690 [Peer Reviewed Journal]

ISSN: 0941-0643 ;EISSN: 1433-3058 ;DOI: 10.1007/s00521-019-04359-7

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2
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation
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Equilibrium Propagation: Bridging the Gap between Energy-Based Models and Backpropagation

Frontiers in computational neuroscience, 2017-05, Vol.11, p.24-24 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2017 Scellier and Bengio. 2017 Scellier and Bengio ;ISSN: 1662-5188 ;EISSN: 1662-5188 ;DOI: 10.3389/fncom.2017.00024 ;PMID: 28522969

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3
The construction of a teacher training system for artificial intelligence professionals in universities oriented to RNN models
The construction of a teacher training system for artificial intelligence professionals in universities oriented to RNN models
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The construction of a teacher training system for artificial intelligence professionals in universities oriented to RNN models

Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1) [Peer Reviewed Journal]

ISSN: 2444-8656 ;EISSN: 2444-8656 ;DOI: 10.2478/amns.2023.2.00656

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4
Inheritance and development of traditional sports culture in college physical education in the context of deep learning
Inheritance and development of traditional sports culture in college physical education in the context of deep learning
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Inheritance and development of traditional sports culture in college physical education in the context of deep learning

Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1) [Peer Reviewed Journal]

EISSN: 2444-8656 ;DOI: 10.2478/amns-2024-0396

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5
Predicting The Number of Tourists Based on Backpropagation Algorithm
Predicting The Number of Tourists Based on Backpropagation Algorithm
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Predicting The Number of Tourists Based on Backpropagation Algorithm

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) (Online), 2021-06, Vol.5 (3), p.439-445 [Peer Reviewed Journal]

ISSN: 2580-0760 ;EISSN: 2580-0760 ;DOI: 10.29207/resti.v5i3.3061

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6
On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach
On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach
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On the prediction of Covid-19 time series: an intuitionistic fuzzy logic approach

Journal of fuzzy extension & applications (Online), 2021-06, Vol.2 (2), p.171-190 [Peer Reviewed Journal]

ISSN: 2783-1442 ;EISSN: 2717-3453 ;DOI: 10.22105/jfea.2021.263890.1070

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7
Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization
Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization
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Bayesian regularization networks for micropolar ternary hybrid nanofluid flow of blood with homogeneous and heterogeneous reactions: Entropy generation optimization

Alexandria engineering journal, 2023-08, Vol.77, p.127-148 [Peer Reviewed Journal]

2023 Faculty of Engineering, Alexandria University ;ISSN: 1110-0168 ;DOI: 10.1016/j.aej.2023.06.080

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8
An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm
An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm
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An analysis of the translation process of contemporary Chinese literature based on the Kalman filter algorithm

Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1) [Peer Reviewed Journal]

ISSN: 2444-8656 ;EISSN: 2444-8656 ;DOI: 10.2478/amns.2023.2.00095

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9
Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education
Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education
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Innovation and Practice of Educational Management System in Colleges and Universities Based on the Concept of Data Analysis Education

Applied mathematics and nonlinear sciences, 2024-01, Vol.9 (1) [Peer Reviewed Journal]

ISSN: 2444-8656 ;EISSN: 2444-8656 ;DOI: 10.2478/amns.2023.2.01303

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10
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions
Convergence of constant step stochastic gradient descent for non-smooth non-convex functions
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Convergence of constant step stochastic gradient descent for non-smooth non-convex functions

Set-valued and variational analysis, 2022-09, Vol.30 (3), p.1117-1147 [Peer Reviewed Journal]

Distributed under a Creative Commons Attribution 4.0 International License ;ISSN: 1877-0533 ;EISSN: 1877-0541 ;DOI: 10.1007/s11228-022-00638-z

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11
Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks
Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks
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Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks

Sustainability, 2021-02, Vol.13 (4), p.2393 [Peer Reviewed Journal]

2021. This work is licensed under http://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;ISSN: 2071-1050 ;EISSN: 2071-1050 ;DOI: 10.3390/su13042393

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12
Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm
Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm
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Numerical analysis of thermophoretic particle deposition on 3D Casson nanofluid: Artificial neural networks-based Levenberg–Marquardt algorithm

Open Physics, 2024-02, Vol.22 (1), p.800-10 [Peer Reviewed Journal]

EISSN: 2391-5471 ;DOI: 10.1515/phys-2023-0181

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13
Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models
Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models
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Enhancing riverine load prediction of anthropogenic pollutants: Harnessing the potential of feed-forward backpropagation (FFBP) artificial neural network (ANN) models

Results in engineering, 2024-06, Vol.22, p.102072, Article 102072 [Peer Reviewed Journal]

2024 The Author(s) ;ISSN: 2590-1230 ;EISSN: 2590-1230 ;DOI: 10.1016/j.rineng.2024.102072

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14
Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete
Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete
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Artificial Neural Network Model for Strength Prediction of Ultra-High-Performance Concrete

ACI materials journal, 2021-07, Vol.118 (4), p.3 [Peer Reviewed Journal]

COPYRIGHT 2021 American Concrete Institute ;ISSN: 0889-325X ;EISSN: 1944-737X ;DOI: 10.14359/51732710

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15
A Review of Deep Learning Fundamentals – the XOR Neural Network Model
A Review of Deep Learning Fundamentals – the XOR Neural Network Model
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A Review of Deep Learning Fundamentals – the XOR Neural Network Model

Programación Matemática y Software, 2023-02, Vol.15 (1) [Peer Reviewed Journal]

EISSN: 2007-3283 ;DOI: 10.30973/progmat/2023.15.1/5

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16
An algorithm for outlier detection in a time series model using backpropagation neural network
An algorithm for outlier detection in a time series model using backpropagation neural network
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An algorithm for outlier detection in a time series model using backpropagation neural network

Journal of King Saud University. Science, 2020-12, Vol.32 (8), p.3328-3336 [Peer Reviewed Journal]

2020 ;ISSN: 1018-3647 ;DOI: 10.1016/j.jksus.2020.09.018

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17
Neural Network Application in the Change of Reservoir Water Level Stage Forecasting
Neural Network Application in the Change of Reservoir Water Level Stage Forecasting
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Neural Network Application in the Change of Reservoir Water Level Stage Forecasting

Indian journal of science and technology, 2015-07, Vol.8 (13)

ISSN: 0974-6846 ;EISSN: 0974-5645 ;DOI: 10.17485/ijst/2015/v8i13/70634

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18
Traceability analysis for low-voltage distribution network abnormal line loss using a data-driven power flow model
Traceability analysis for low-voltage distribution network abnormal line loss using a data-driven power flow model
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Traceability analysis for low-voltage distribution network abnormal line loss using a data-driven power flow model

Frontiers in energy research, 2023-09, Vol.11 [Peer Reviewed Journal]

ISSN: 2296-598X ;EISSN: 2296-598X ;DOI: 10.3389/fenrg.2023.1272095

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19
A cumulative-risk assessment method based on an artificial neural network model for the water environment
A cumulative-risk assessment method based on an artificial neural network model for the water environment
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A cumulative-risk assessment method based on an artificial neural network model for the water environment

Environmental science and pollution research international, 2021-09, Vol.28 (34), p.46176-46185 [Peer Reviewed Journal]

The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021 ;The Author(s), under exclusive licence to Springer-Verlag GmbH, DE part of Springer Nature 2021. ;ISSN: 0944-1344 ;EISSN: 1614-7499 ;DOI: 10.1007/s11356-021-12540-6 ;PMID: 33492592

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20
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines

Frontiers in neuroscience, 2017-06, Vol.11, p.324-324 [Peer Reviewed Journal]

2017. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;Copyright © 2017 Neftci, Augustine, Paul and Detorakis. 2017 Neftci, Augustine, Paul and Detorakis ;ISSN: 1662-4548 ;ISSN: 1662-453X ;EISSN: 1662-453X ;DOI: 10.3389/fnins.2017.00324 ;PMID: 28680387

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