Fault Tolerance Comparison of IDS Models with Multilayer Perceptron and Radial Basis Function Networks

2007 International Joint Conference on Neural Networks ◽

10.1109/ijcnn.2007.4371108 ◽

2007 ◽

Author(s):

Masayuki Murakami ◽

Nakaji Honda

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Radial Basis Function Networks ◽

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Sensitivity analysis of radial basis function networks for fault tolerance purposes

Lecture Notes in Computer Science - Foundations and Tools for Neural Modeling ◽

10.1007/bfb0098214 ◽

1999 ◽

pp. 566-572 ◽

Author(s):

Xavier Parra ◽

Andreu Català

Keyword(s):

Sensitivity Analysis ◽

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

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Comparative fault tolerance of generalized radial basis function and multilayer perceptron networks

IEEE International Conference on Neural Networks ◽

10.1109/icnn.1993.298838 ◽

2002 ◽

Author(s):

B.E. Segee ◽

M.J. Carter

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Radial Basis ◽

Multilayer Perceptron Networks

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Damage detection in Timoshenko beam structures by multilayer perceptron and radial basis function networks

Neural Computing and Applications ◽

10.1007/s00521-012-1270-1 ◽

2012 ◽

Vol 24 (3-4) ◽

pp. 583-597 ◽

Author(s):

Kamil Aydin ◽

Ozgur Kisi

Keyword(s):

Damage Detection ◽

Radial Basis Function ◽

Timoshenko Beam ◽

Basis Function ◽

Multilayer Perceptron ◽

Radial Basis Function Networks ◽

Beam Structures ◽

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Analysis & survey on fault tolerance in radial basis function networks

International Conference on Computing, Communication & Automation ◽

10.1109/ccaa.2015.7148422 ◽

2015 ◽

Author(s):

Richa Martolia ◽

Amit Jain ◽

Laxya Singla

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

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Learning algorithms for fault tolerance in radial basis function networks

Proceedings of 1994 37th Midwest Symposium on Circuits and Systems ◽

10.1109/mwscas.1994.519295 ◽

2002 ◽

Author(s):

M.V. Hegde ◽

M. Naraghi-Pour ◽

P. Bapat

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Learning Algorithms ◽

Radial Basis Function Networks ◽

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A COMPARATIVE STUDY OF MULTILAYER PERCEPTRON, RADIAL BASIS FUNCTION NETWORKS AND LOGISTIC REGRESSION FOR HEALTHCARE DATA CLASSIFICATION

International Journal of Advance Engineering and Research Development ◽

10.21090/ijaerd.030368 ◽

2016 ◽

Vol 3 (03) ◽

Keyword(s):

Logistic Regression ◽

Comparative Study ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Data Classification ◽

Radial Basis Function Networks ◽

Healthcare Data ◽

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Fault tolerance parameter model of radial basis function networks

Proceedings of International Conference on Neural Networks (ICNN'96) ◽

10.1109/icnn.1996.549101 ◽

2002 ◽

Author(s):

A.C. Mallofre ◽

X.P. Llanas

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Radial Basis Function Networks ◽

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Spectral enhancement of Landsat OLI images by using Hyperion data: a comparison between multilayer perceptron and radial basis function networks

Earth Science Informatics ◽

10.1007/s12145-020-00451-y ◽

2020 ◽

Vol 13 (2) ◽

pp. 493-507 ◽

Author(s):

Mohammad Hossein Mokhtari ◽

Kaveh Deilami ◽

Vahid Moosavi

Keyword(s):

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Radial Basis Function Networks ◽

Spectral Enhancement ◽

Radial Basis ◽

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Fault tolerance in the learning algorithm of radial basis function networks

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium ◽

10.1109/ijcnn.2000.861362 ◽

2000 ◽

Author(s):

X. Parra ◽

A. Catala

Keyword(s):

Fault Tolerance ◽

Radial Basis Function ◽

Basis Function ◽

Learning Algorithm ◽

Radial Basis Function Networks ◽

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Multilayer perceptron neural networks and radial-basis function networks as tools to forecast accumulation of deoxynivalenol in barley seeds contaminated with Fusarium culmorum

Food Control ◽

10.1016/j.foodcont.2010.05.013 ◽

2011 ◽

Vol 22 (1) ◽

pp. 88-95 ◽

Author(s):

Fernando Mateo ◽

Rafael Gadea ◽

Eva M. Mateo ◽

Misericordia Jiménez

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

Multilayer Perceptron ◽

Fusarium Culmorum ◽

Radial Basis Function Networks ◽

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