A Multiagent-Based Constructive Approach for Feedforward Neural Networks

Advances in Intelligent Data Analysis V - Lecture Notes in Computer Science ◽

10.1007/978-3-540-45231-7_43 ◽

2003 ◽

pp. 462-473

Author(s):

Clodoaldo A. M. Lima ◽

André L. V. Coelho ◽

Fernando J. Von Zuben

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Constructive Approach

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A Constructive Approach of Modified Standard Backpropagation Algorithm with Optimum Initialization for Feedforward Neural Networks

International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007) ◽

10.1109/iccima.2007.259 ◽

2007 ◽

Author(s):

N. Gunaseeli ◽

N. Karthikeyan

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Constructive Approach ◽

Backpropagation Algorithm

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A constructive approach to data-driven randomized learning for feedforward neural networks

Applied Soft Computing ◽

10.1016/j.asoc.2021.107797 ◽

2021 ◽

pp. 107797

Author(s):

Grzegorz Dudek

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Data Driven ◽

Constructive Approach

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Solving a Combinatorial Optimization Problem with Feedforward Neural Networks

1993 American Control Conference ◽

10.23919/acc.1993.4793106 ◽

1993 ◽

Author(s):

Xianzhong Cui ◽

Kang G. Shin

Keyword(s):

Neural Networks ◽

Combinatorial Optimization ◽

Optimization Problem ◽

Feedforward Neural Networks ◽

Combinatorial Optimization Problem

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Effect of inhibitory firing patterns on information transmission in feedforward neural networks

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865330 ◽

2019 ◽

Author(s):

Pengzhen Zhang ◽

Bin Deng ◽

Xinmeng Guo ◽

Jiang Wang ◽

Haitao Yu

Keyword(s):

Neural Networks ◽

Information Transmission ◽

Feedforward Neural Networks ◽

Firing Patterns

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Asymptotic Prediction Error Variance for Feedforward Neural Networks

IFAC-PapersOnLine ◽

10.1016/j.ifacol.2020.12.1310 ◽

2020 ◽

Vol 53 (2) ◽

pp. 1108-1113

Author(s):

Magnus Malmström ◽

Isaac Skog ◽

Daniel Axehill ◽

Fredrik Gustafsson

Keyword(s):

Neural Networks ◽

Prediction Error ◽

Feedforward Neural Networks ◽

Error Variance ◽

Prediction Error Variance

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Improved remote-sensing land cover identification using parameterized feedforward neural networks

Euro-Mediterranean Journal for Environmental Integration ◽

10.1007/s41207-020-00226-3 ◽

2021 ◽

Vol 6 (1) ◽

Author(s):

Olfa Charfi Marrakchi

Keyword(s):

Remote Sensing ◽

Neural Networks ◽

Feedforward Neural Networks

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A hybrid computational intelligence approach for structural damage detection using marine predator algorithm and feedforward neural networks

Computers & Structures ◽

10.1016/j.compstruc.2021.106568 ◽

2021 ◽

Vol 252 ◽

pp. 106568

Author(s):

Long Viet Ho ◽

Duong Huong Nguyen ◽

Mohsen Mousavi ◽

Guido De Roeck ◽

Thanh Bui-Tien ◽

...

Keyword(s):

Neural Networks ◽

Damage Detection ◽

Computational Intelligence ◽

Structural Damage ◽

Feedforward Neural Networks ◽

Structural Damage Detection ◽

Marine Predator ◽

Intelligence Approach

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A relaxation algorithm for estimating the domain of validity of feedforward neural networks

Neural Processing Letters ◽

10.1007/bf00420280 ◽

1996 ◽

Vol 3 (3) ◽

pp. 113-121 ◽

Author(s):

Marcello Pelillo

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Relaxation Algorithm ◽

Domain Of Validity

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Hybrid back-propagation/genetic algorithm for multilayer feedforward neural networks

WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000 ◽

10.1109/icosp.2000.894556 ◽

2002 ◽

Author(s):

Chun Lu ◽

Bingxue Shi

Keyword(s):

Genetic Algorithm ◽

Neural Networks ◽

Back Propagation ◽

Feedforward Neural Networks

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Feedforward neural networks for compound signals

Theoretical Computer Science ◽

10.1016/j.tcs.2011.05.046 ◽

2011 ◽

Vol 412 (42) ◽

pp. 5960-5973 ◽

Author(s):

Marcin Szczuka ◽

Dominik Ślęzak

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks

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