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Refinado por: assunto: Computer Science, Artificial Intelligence remover Algorithms remover assunto: Neural Networks remover
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A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm
A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm
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A fast feedforward training algorithm using a modified form of the standard backpropagation algorithm

Abid, S. ; Fnaiech, F. ; Najim, M.

IEEE transactions on neural networks, 2001-03, Vol.12 (2), p.424-430

United States: IEEE

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2
Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder
Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder
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Enhancing Context-Aware Recommendation Using Trust-Based Contextual Attentive Autoencoder

Abinaya, S. ; Alphonse, A. Sherly ; Abirami, S. ; Kavithadevi, M. K.

Neural processing letters, 2023-10, Vol.55 (5), p.6843-6864 [Periódico revisado por pares]

New York: Springer US

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3
Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization
Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization
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Recursive least-squares backpropagation algorithm for stop-and-go decision-directed blind equalization

Abrar, S. ; Zerguine, A. ; Bettayeb, M.

IEEE transactions on neural networks, 2002-11, Vol.13 (6), p.1472-1481

United States: IEEE

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4
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM
Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM
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Semisupervised Learning Using Bayesian Interpretation: Application to LS-SVM

Adankon, M M ; Cheriet, M ; Biem, A

IEEE transactions on neural networks, 2011-04, Vol.22 (4), p.513-524

New York, NY: IEEE

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5
Semisupervised Least Squares Support Vector Machine
Semisupervised Least Squares Support Vector Machine
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Semisupervised Least Squares Support Vector Machine

Adankon, M.M. ; Cheriet, M. ; Biem, A.

IEEE transactions on neural networks, 2009-12, Vol.20 (12), p.1858-1870

New York, NY: IEEE

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6
Robust adaptive control of nonaffine nonlinear plants with small input signal changes
Robust adaptive control of nonaffine nonlinear plants with small input signal changes
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Robust adaptive control of nonaffine nonlinear plants with small input signal changes

Adetona, O. ; Sathananthan, S. ; Keel, L.H.

IEEE transactions on neural networks, 2004-03, Vol.15 (2), p.408-416

United States: IEEE

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7
Memristor Bridge Synapse-Based Neural Network and Its Learning
Memristor Bridge Synapse-Based Neural Network and Its Learning
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Memristor Bridge Synapse-Based Neural Network and Its Learning

Adhikari, S. P. ; Changju Yang ; Hyongsuk Kim ; Chua, L. O.

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1426-1435

New York, NY: IEEE

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8
Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking
Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking
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Data-Based Robust Multiobjective Optimization of Interconnected Processes: Energy Efficiency Case Study in Papermaking

Afshar, P. ; Brown, M. ; Maciejowski, J. ; Hong Wang

IEEE transactions on neural networks, 2011-12, Vol.22 (12), p.2324-2338

United States: IEEE

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9
Network intrusion detection using oversampling technique and machine learning algorithms
Network intrusion detection using oversampling technique and machine learning algorithms
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Network intrusion detection using oversampling technique and machine learning algorithms

Ahmed, Hafiza Anisa ; Hameed, Anum ; Bawany, Narmeen Zakaria

PeerJ. Computer science, 2022-01, Vol.8, p.e820-e820, Article e820 [Periódico revisado por pares]

United States: PeerJ. Ltd

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10
Hybrid Siamese Network for Unconstrained Face Verification and Clustering under Limited Resources
Hybrid Siamese Network for Unconstrained Face Verification and Clustering under Limited Resources
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Hybrid Siamese Network for Unconstrained Face Verification and Clustering under Limited Resources

Ahmed, Nehal K. ; Hemayed, Elsayed E. ; Fayek, Magda B.

Big data and cognitive computing, 2020-09, Vol.4 (3), p.19 [Periódico revisado por pares]

Basel: MDPI AG

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