Mutual information based weight initialization method for sigmoidal feedforward neural networks

Neurocomputing ◽

10.1016/j.neucom.2016.05.054 ◽

2016 ◽

Vol 207 ◽

pp. 676-683 ◽

Author(s):

Junfei Qiao ◽

Sanyi Li ◽

Wenjing Li

Keyword(s):

Neural Networks ◽

Mutual Information ◽

Feedforward Neural Networks ◽

Weight Initialization

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Analyzing Weight Distribution of Feedforward Neural Networks and Efficient Weight Initialization

Lecture Notes in Computer Science - Structural, Syntactic, and Statistical Pattern Recognition ◽

10.1007/978-3-540-27868-9_92 ◽

2004 ◽

pp. 840-849 ◽

Author(s):

Jinwook Go ◽

Byungjoon Baek ◽

Chulhee Lee

Keyword(s):

Neural Networks ◽

Weight Distribution ◽

Feedforward Neural Networks ◽

Weight Initialization

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An overview on weight initialization methods for feedforward neural networks

2016 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2016.7727180 ◽

2016 ◽

Author(s):

Celso A. R. de Sousa

Keyword(s):

Neural Networks ◽

Feedforward Neural Networks ◽

Weight Initialization

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Weight Initialization of Feedforward Neural Networks by Means of Partial Least Squares

2006 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2006.258402 ◽

2006 ◽

Author(s):

Yan Liu ◽

Chang-feng Zhou ◽

Ying-wu Chen

Keyword(s):

Neural Networks ◽

Least Squares ◽

Partial Least Squares ◽

Feedforward Neural Networks ◽

Weight Initialization

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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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Disentangled Representations by Pseudo-Maximum Mutual Information for Interpreting Multi-Layered Neural Networks

2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI) ◽

10.1109/iiai-aai50415.2020.00094 ◽

2020 ◽

Author(s):

Ryotaro Kamimura

Keyword(s):

Neural Networks ◽

Mutual Information ◽

Maximum Mutual Information

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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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