A Supervised Learning Method for Neural Networks Based on Sensitivity Analysis with Automatic Regularization

Lecture Notes in Computer Science - Bio-Inspired Systems: Computational and Ambient Intelligence ◽

10.1007/978-3-642-02478-8_20 ◽

2009 ◽

pp. 157-164 ◽

Cited By ~ 1

Author(s):

Beatriz Pérez-Sánchez ◽

Oscar Fontenla-Romero ◽

Bertha Guijarro-Berdiñas

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

Supervised Learning ◽

Learning Method

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Semi-supervised learning method of constructive neural networks

2015 IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) ◽

10.1109/iaeac.2015.7428711 ◽

2015 ◽

Author(s):

Yanqing Feng ◽

Mingxiang Xie ◽

Lunwen Wang

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Learning Method ◽

Constructive Neural Networks

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An online supervised learning method for spiking neural networks with adaptive structure

Neurocomputing ◽

10.1016/j.neucom.2014.04.017 ◽

2014 ◽

Vol 144 ◽

pp. 526-536 ◽

Cited By ~ 45

Author(s):

Jinling Wang ◽

Ammar Belatreche ◽

Liam Maguire ◽

Thomas Martin McGinnity

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Spiking Neural Networks ◽

Learning Method ◽

Adaptive Structure

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Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks

Artificial Neural Networks: Biological Inspirations – ICANN 2005 - Lecture Notes in Computer Science ◽

10.1007/11550822_24 ◽

2005 ◽

pp. 145-152 ◽

Cited By ~ 12

Author(s):

Andrzej Kasinski ◽

Filip Ponulak

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Spiking Neural Networks ◽

Learning Method ◽

Experimental Demonstration

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A new supervised learning method of neural networks and its application to the land cover classification

IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293) ◽

10.1109/igarss.1999.774633 ◽

2003 ◽

Cited By ~ 2

Author(s):

A. Ohkubo ◽

K. Niijima

Keyword(s):

Neural Networks ◽

Land Cover ◽

Supervised Learning ◽

Land Cover Classification ◽

Learning Method

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An Incremental Learning Method for Neural Networks Based on Sensitivity Analysis

Current Topics in Artificial Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-642-14264-2_5 ◽

2010 ◽

pp. 42-50 ◽

Cited By ~ 3

Author(s):

Beatriz Pérez-Sánchez ◽

Oscar Fontenla-Romero ◽

Bertha Guijarro-Berdiñas

Keyword(s):

Neural Networks ◽

Sensitivity Analysis ◽

Incremental Learning ◽

Learning Method ◽

Incremental Learning Method

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A supervised learning method of neural networks in a non-linear and time depended control process

21st Mediterranean Conference on Control and Automation ◽

10.1109/med.2013.6608924 ◽

2013 ◽

Author(s):

Michail G. Papoutsidakis ◽

Anthony G. Pipe ◽

George E. Chamilothoris

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Control Process ◽

Learning Method ◽

Non Linear

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A biologically plausible supervised learning method for spiking neural networks using the symmetric STDP rule

Neural Networks ◽

10.1016/j.neunet.2019.09.007 ◽

2020 ◽

Vol 121 ◽

pp. 387-395 ◽

Cited By ~ 7

Author(s):

Yunzhe Hao ◽

Xuhui Huang ◽

Meng Dong ◽

Bo Xu

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Spiking Neural Networks ◽

Learning Method ◽

Stdp Rule

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Area-efficient memristor spiking neural networks and supervised learning method

Science China Information Sciences ◽

10.1007/s11432-018-9607-8 ◽

2019 ◽

Vol 62 (9) ◽

Cited By ~ 2

Author(s):

Errui Zhou ◽

Liang Fang ◽

Rulin Liu ◽

Zhensen Tang

Keyword(s):

Neural Networks ◽

Supervised Learning ◽

Spiking Neural Networks ◽

Learning Method ◽

Area Efficient

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A Structure Learning Method for Block-Based Neural Networks

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.133.1976 ◽

2013 ◽

Vol 133 (10) ◽

pp. 1976-1982 ◽

Cited By ~ 3

Author(s):

Hidetaka Watanabe ◽

Seiichi Koakutsu ◽

Takashi Okamoto ◽

Hironori Hirata

Keyword(s):

Neural Networks ◽

Structure Learning ◽

Learning Method ◽

Block Based

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The Lateral Conflict Risk Assessment for Low-altitude Training Airspace using Weakly Supervised Learning Method

Intelligent Automation & Soft Computing ◽

10.31209/2018.100000027 ◽

2018 ◽

Vol 24 (3) ◽

pp. 603-611

Author(s):

Kaijun Xu ◽

Xueting Chen ◽

Yusheng Yao ◽

Shanshan Li

Keyword(s):

Risk Assessment ◽

Supervised Learning ◽

Altitude Training ◽

Learning Method ◽

Weakly Supervised Learning ◽

Low Altitude ◽

Weakly Supervised ◽

Conflict Risk

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