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Refinado por: Base de dados/Biblioteca: ANTE: Abstracts in New Technology & Engineering remover assunto: Computer Science, Theory & Methods remover Applied Sciences remover
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures
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On the Complexity of Neural Network Classifiers: A Comparison Between Shallow and Deep Architectures

Bianchini, Monica ; Scarselli, Franco

IEEE transaction on neural networks and learning systems, 2014-08, Vol.25 (8), p.1553-1565

New York, NY: IEEE

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2
Feature Learning for Image Classification Via Multiobjective Genetic Programming
Feature Learning for Image Classification Via Multiobjective Genetic Programming
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Feature Learning for Image Classification Via Multiobjective Genetic Programming

Shao, Ling ; Liu, Li ; Li, Xuelong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1359-1371

New York, NY: IEEE

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3
Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness
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Bidirectional Extreme Learning Machine for Regression Problem and Its Learning Effectiveness

Yang, Yimin ; Wang, Yaonan ; Yuan, Xiaofang

IEEE transaction on neural networks and learning systems, 2012-09, Vol.23 (9), p.1498-1505

New York, NY: IEEE

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4
Classification in the Presence of Label Noise: A Survey
Classification in the Presence of Label Noise: A Survey
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Classification in the Presence of Label Noise: A Survey

Frenay, Benoit ; Verleysen, Michel

IEEE transaction on neural networks and learning systems, 2014-05, Vol.25 (5), p.845-869

New York, NY: IEEE

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5
A universal method for designing low-power carbon nanotube FET-based multiple-valued logic circuits
A universal method for designing low-power carbon nanotube FET-based multiple-valued logic circuits
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A universal method for designing low-power carbon nanotube FET-based multiple-valued logic circuits

Moaiyeri, Mohammad Hossein ; Mirzaee, Reza Faghih ; Doostaregan, Akbar ; Navi, Keivan ; Hashemipour, Omid

IET computers & digital techniques, 2013-07, Vol.7 (4), p.167-181 [Periódico revisado por pares]

Stevenage: The Institution of Engineering and Technology

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6
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks
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A Comprehensive Review of Stability Analysis of Continuous-Time Recurrent Neural Networks

Zhang, Huaguang ; Wang, Zhanshan ; Liu, Derong

IEEE transaction on neural networks and learning systems, 2014-07, Vol.25 (7), p.1229-1262

New York, NY: IEEE

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7
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks
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Adaptive Consensus Control for a Class of Nonlinear Multiagent Time-Delay Systems Using Neural Networks

Chen, C. L. Philip ; Guo-Xing Wen ; Yan-Jun Liu ; Fei-Yue Wang

IEEE transaction on neural networks and learning systems, 2014-06, Vol.25 (6), p.1217-1226

New York, NY: IEEE

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8
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems
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Policy Iteration Adaptive Dynamic Programming Algorithm for Discrete-Time Nonlinear Systems

Liu, Derong ; Wei, Qinglai

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.621-634

New York, NY: IEEE

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9
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines
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High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines

Le Ly, Daniel ; Chow, Paul

IEEE transactions on neural networks, 2010-11, Vol.21 (11), p.1780-1792

New York, NY: IEEE

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10
ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal
ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal
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ERNN: A Biologically Inspired Feedforward Neural Network to Discriminate Emotion From EEG Signal

Khosrowabadi, Reza ; Chai Quek ; Kai Keng Ang ; Wahab, Abdul

IEEE transaction on neural networks and learning systems, 2014-03, Vol.25 (3), p.609-620

New York, NY: IEEE

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