multilayer feedforward network Latest Research Papers

Variable Selection in Regression using Multilayer Feedforward Network

Journal of Modern Applied Statistical Methods ◽

10.22237/jmasm/1462077120 ◽

2016 ◽

Vol 15 (1) ◽

pp. 670-689

Author(s):

Tejaswi S Kamble ◽

Dattatraya N Kashid

Keyword(s):

Variable Selection ◽

Feedforward Network ◽

Multilayer Feedforward Network

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A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

Neural Network World ◽

10.14311/nnw.2015.25.029 ◽

2015 ◽

Vol 25 (6) ◽

pp. 587-602 ◽

Cited By ~ 5

Author(s):

Ufuk Yolcu ◽

Eren Bas ◽

Erol Egrioglu ◽

Cagdas Hakan Aladag

Keyword(s):

Neuron Model ◽

Feedforward Network ◽

Trimmed Mean ◽

Multilayer Feedforward Network

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A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units

Advances in Neural Networks – ISNN 2011 - Lecture Notes in Computer Science ◽

10.1007/978-3-642-21105-8_57 ◽

2011 ◽

pp. 495-504

Author(s):

Gang Yang ◽

Junfei Qiao ◽

Mingzhe Yuan

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Mutual Inhibition ◽

Feedforward Network ◽

Multilayer Feedforward Network ◽

Artificial Neural ◽

Spatial Architecture

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Friction compensation for motion control system using multilayer feedforward network

2008 International Symposium on Information Technology ◽

10.1109/itsim.2008.4631903 ◽

2008 ◽

Author(s):

Wahyudi ◽

Ismaila B. Tijani

Keyword(s):

Control System ◽

Motion Control ◽

Friction Compensation ◽

Feedforward Network ◽

Motion Control System ◽

Multilayer Feedforward Network

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Friction compensation for motion control system using multilayer feedforward network

2008 5th International Symposium on Mechatronics and Its Applications ◽

10.1109/isma.2008.4648817 ◽

2008 ◽

Cited By ~ 3

Author(s):

Wahyudi ◽

Ismaila B. Tijani

Keyword(s):

Control System ◽

Motion Control ◽

Friction Compensation ◽

Feedforward Network ◽

Motion Control System ◽

Multilayer Feedforward Network

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Dynamic Structure Design Method of Multilayer Feedforward Network and Its Application in Springback Prediction

Journal of Mechanical Engineering ◽

10.3901/jme.2008.11.093 ◽

2008 ◽

Vol 44 (11) ◽

pp. 93

Author(s):

Lifen HAN

Keyword(s):

Design Method ◽

Dynamic Structure ◽

Structure Design ◽

Feedforward Network ◽

Multilayer Feedforward Network ◽

Springback Prediction

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A multilayer feedforward network for model estimation from range data

Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290) ◽

10.1109/ijcnn.2002.1007692 ◽

2003 ◽

Author(s):

A. Chella ◽

R. Pirrone

Keyword(s):

Range Data ◽

Model Estimation ◽

Feedforward Network ◽

Multilayer Feedforward Network

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Blind equalization using higher order statistics and neural networks: a comparison between multilayer feedforward network and radial basis function network

Proceedings of the IEEE Signal Processing Workshop on Higher-Order Statistics. SPW-HOS '99 ◽

10.1109/host.1999.778700 ◽

2003 ◽

Author(s):

Li Rui ◽

P. Saratchandran ◽

N. Sundararajan

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Order Statistics ◽

Basis Function ◽

Radial Basis Function Network ◽

Higher Order ◽

Higher Order Statistics ◽

Feedforward Network ◽

Multilayer Feedforward Network ◽

Function Network

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The effective capacity of multilayer feedforward network classifiers

Proceedings of the 12th IAPR International Conference on Pattern Recognition (Cat. No.94CH3440-5) ◽

10.1109/icpr.1994.576883 ◽

2002 ◽

Cited By ~ 10

Author(s):

M.A. Kraaijveld ◽

R.P.W. Duin

Keyword(s):

Effective Capacity ◽

Feedforward Network ◽

Multilayer Feedforward Network

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How to select the inputs for a multilayer feedforward network by using the training set

Lecture Notes in Computer Science - Engineering Applications of Bio-Inspired Artificial Neural Networks ◽

10.1007/bfb0100515 ◽

1999 ◽

pp. 477-486 ◽

Cited By ~ 2

Author(s):

Mercedes Fernández Redondo ◽

Carlos Hernández Espinosa

Keyword(s):

Training Set ◽

Feedforward Network ◽

Multilayer Feedforward Network

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multilayer feedforward network
Recently Published Documents

TOTAL DOCUMENTS

H-INDEX

Variable Selection in Regression using Multilayer Feedforward Network

A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units

Friction compensation for motion control system using multilayer feedforward network

Friction compensation for motion control system using multilayer feedforward network

Dynamic Structure Design Method of Multilayer Feedforward Network and Its Application in Springback Prediction

A multilayer feedforward network for model estimation from range data

Blind equalization using higher order statistics and neural networks: a comparison between multilayer feedforward network and radial basis function network

The effective capacity of multilayer feedforward network classifiers

How to select the inputs for a multilayer feedforward network by using the training set

Export Citation Format

multilayer feedforward networkRecently Published Documents

TOTAL DOCUMENTS

H-INDEX

Variable Selection in Regression using Multilayer Feedforward Network

A NEW MULTILAYER FEEDFORWARD NETWORK BASED ON TRIMMED MEAN NEURON MODEL

A Novel Spatial Architecture Artificial Neural Network Based on Multilayer Feedforward Network with Mutual Inhibition among Hidden Units

Friction compensation for motion control system using multilayer feedforward network

Friction compensation for motion control system using multilayer feedforward network

Dynamic Structure Design Method of Multilayer Feedforward Network and Its Application in Springback Prediction

A multilayer feedforward network for model estimation from range data

Blind equalization using higher order statistics and neural networks: a comparison between multilayer feedforward network and radial basis function network

The effective capacity of multilayer feedforward network classifiers

How to select the inputs for a multilayer feedforward network by using the training set

multilayer feedforward network
Recently Published Documents