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1
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
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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
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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
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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
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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
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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
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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
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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
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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
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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
Why neural networks apply to scientific computing?
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Why neural networks apply to scientific computing?

Theoretical and applied mechanics letters, 2021-03, Vol.11 (3), p.100242, Article 100242 [Peer Reviewed Journal]

2021 ;ISSN: 2095-0349 ;DOI: 10.1016/j.taml.2021.100242

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12
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 (Basel, Switzerland), 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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13
Analisis Tingkat Akurasi Variasi Algoritma Min-Max Backpropagation sebagai Pre-Processing Data Time Series
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Analisis Tingkat Akurasi Variasi Algoritma Min-Max Backpropagation sebagai Pre-Processing Data Time Series

Techno. Com, 2023-05, Vol.22 (2), p.290-300 [Peer Reviewed Journal]

ISSN: 2356-2579 ;EISSN: 2356-2579 ;DOI: 10.33633/tc.v22i2.7995

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14
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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15
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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16
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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17
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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18
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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19
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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20
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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