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Constructive algorithm for fully connected cascade feedforward neural networks
Neurocomputing
◽
10.1016/j.neucom.2015.12.003
◽
2016
◽
Vol 182
◽
pp. 154-164
◽
Cited By ~ 20
Author(s):
Junfei Qiao
◽
Fanjun Li
◽
Honggui Han
◽
Wenjing Li
Keyword(s):
Neural Networks
◽
Feedforward Neural Networks
◽
Constructive Algorithm
◽
Fully Connected
Download Full-text
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Fully connected feedforward neural networks based CSI feedback algorithm
China Communications
◽
10.23919/jcc.2021.01.004
◽
2021
◽
Vol 18
(1)
◽
pp. 43-48
Author(s):
Ming Gao
◽
Tanming Liao
◽
Yubin Lu
Keyword(s):
Neural Networks
◽
Feedforward Neural Networks
◽
Feedback Algorithm
◽
Csi Feedback
◽
Fully Connected
Download Full-text
A constructive algorithm for feedforward neural networks with incremental training
IEEE Transactions on Circuits and Systems I Fundamental Theory and Applications
◽
10.1109/tcsi.2002.805733
◽
2002
◽
Vol 49
(12)
◽
pp. 1876-1879
◽
Cited By ~ 39
Author(s):
Derong Liu
◽
Tsu-Shuan Chang
◽
Yi Zhang
Keyword(s):
Neural Networks
◽
Feedforward Neural Networks
◽
Constructive Algorithm
◽
Incremental Training
Download Full-text
Fault tolerant constructive algorithm for feedforward neural networks
Proceedings Pacific Rim International Symposium on Fault-Tolerant Systems
◽
10.1109/prfts.1997.640150
◽
2002
◽
Cited By ~ 6
Author(s):
N.C. Hammadi
◽
T. Ohmameuda
◽
K. Kaneko
◽
H. Ito
Keyword(s):
Neural Networks
◽
Fault Tolerant
◽
Feedforward Neural Networks
◽
Constructive Algorithm
Download Full-text
A constructive algorithm to synthesize arbitrarily connected feedforward neural networks
Neurocomputing
◽
10.1016/j.neucom.2011.05.025
◽
2012
◽
Vol 75
(1)
◽
pp. 14-32
◽
Cited By ~ 12
Author(s):
Wilfredo J. Puma-Villanueva
◽
Eurípedes P. dos Santos
◽
Fernando J. Von Zuben
Keyword(s):
Neural Networks
◽
Feedforward Neural Networks
◽
Constructive Algorithm
Download Full-text
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
Download Full-text
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
Download Full-text
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
◽
Land Cover
◽
Feedforward Neural Networks
Download Full-text
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 novel structured sparse fully connected layer in convolutional neural networks
Concurrency and Computation Practice and Experience
◽
10.1002/cpe.6213
◽
2021
◽
Author(s):
Naoki Matsumura
◽
Yasuaki Ito
◽
Koji Nakano
◽
Akihiko Kasagi
◽
Tsuguchika Tabaru
Keyword(s):
Neural Networks
◽
Convolutional Neural Networks
◽
Fully Connected
Download Full-text
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