Experimental Study of Evolutionary Based Method of Rule Extraction from Neural Networks in Medical Data

Advances in Data Mining. Applications in Medicine, Web Mining, Marketing, Image and Signal Mining - Lecture Notes in Computer Science ◽

10.1007/11790853_7 ◽

2006 ◽

pp. 76-90 ◽

Cited By ~ 2

Author(s):

Urszula Markowska-Kaczmar ◽

Rafal Matkowski

Keyword(s):

Neural Networks ◽

Experimental Study ◽

Rule Extraction ◽

Medical Data

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Function analysis based rule extraction from artificial neural networks for transformer incipient fault diagnosis

International Journal of Electrical Power & Energy Systems ◽

10.1016/j.ijepes.2012.06.042 ◽

2012 ◽

Vol 43 (1) ◽

pp. 1196-1203 ◽

Cited By ~ 43

Author(s):

Deepika Bhalla ◽

Raj Kumar Bansal ◽

Hari Om Gupta

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Fault Diagnosis ◽

Function Analysis ◽

Rule Extraction ◽

Incipient Fault ◽

Artificial Neural ◽

Incipient Fault Diagnosis

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A search technique for rule extraction from trained neural networks

Pattern Recognition Letters ◽

10.1016/s0167-8655(98)00145-7 ◽

1999 ◽

Vol 20 (3) ◽

pp. 273-280 ◽

Cited By ~ 31

Author(s):

R. Krishnan ◽

G. Sivakumar ◽

P. Bhattacharya

Keyword(s):

Neural Networks ◽

Rule Extraction ◽

Search Technique

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On-line learning, reasoning, rule extraction and aggregation in locally optimized evolving fuzzy neural networks

Neurocomputing ◽

10.1016/s0925-2312(00)00346-5 ◽

2001 ◽

Vol 41 (1-4) ◽

pp. 25-45 ◽

Cited By ~ 40

Author(s):

Nikola K. Kasabov

Keyword(s):

Neural Networks ◽

Rule Extraction ◽

Fuzzy Neural Networks ◽

Fuzzy Neural ◽

On Line ◽

On Line Learning

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Neural networks approach to rule extraction

Proceedings 1995 Second New Zealand International Two-Stream Conference on Artificial Neural Networks and Expert Systems ◽

10.1109/annes.1995.499427 ◽

2002 ◽

Cited By ~ 5

Author(s):

M. Ishikawa

Keyword(s):

Neural Networks ◽

Rule Extraction

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Neural networks for classification of ARMA models: an experimental study

[1991 Proceedings] IEEE Conference on Neural Networks for Ocean Engineering ◽

10.1109/icnn.1991.163374 ◽

2002 ◽

Author(s):

P.G. McKee ◽

J.M.F. Moura

Keyword(s):

Neural Networks ◽

Experimental Study ◽

Arma Models

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Fuzzy Rule Extraction Using Radial Basis Function Neural Networks in High-Dimensional Data

Intelligent Knowledge-Based Systems ◽

10.1007/978-1-4020-7829-3_44 ◽

2005 ◽

pp. 1616-1655

Author(s):

F. Admiraal-Behloul ◽

Johan H. C. Reiber

Keyword(s):

Neural Networks ◽

Radial Basis Function ◽

Basis Function ◽

High Dimensional Data ◽

Fuzzy Rule ◽

Rule Extraction ◽

High Dimensional ◽

Radial Basis

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An Experimental Study of Deep Neural Networks on HPC Clusters

Communications in Computer and Information Science - Supercomputing ◽

10.1007/978-3-030-36592-9_40 ◽

2019 ◽

pp. 489-504

Author(s):

Dmitry Buryak ◽

Nina Popova ◽

Vladimir Voevodin ◽

Yuri Konkov ◽

Oleg Ivanov ◽

...

Keyword(s):

Neural Networks ◽

Experimental Study ◽

Deep Neural Networks

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A Classification Diagnosis of Liver Medical Data Based on Various Artificial Neural Networks

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) ◽

10.2991/ncce-18.2018.91 ◽

2018 ◽

Author(s):

Yong Qi ◽

Haozhe Liu ◽

Wentian Zhang ◽

Qiaosheng Zhu ◽

Zhijian Zhao

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Medical Data ◽

Artificial Neural

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An Auxiliary Classification Diagnosis Software System of Liver Medical Data Based on Various Artificial Neural Networks

Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018) ◽

10.2991/ncce-18.2018.121 ◽

2018 ◽

Author(s):

Yong Qi ◽

Wenyue Gou ◽

Jie Li ◽

Qiaosheng Zhu ◽

Runze Pei

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Medical Data ◽

Software System ◽

Artificial Neural

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Hybrid Neural-global Minimization Method of Logical Rule Extraction

Journal of Advanced Computational Intelligence and Intelligent Informatics ◽

10.20965/jaciii.1999.p0348 ◽

1999 ◽

Vol 3 (5) ◽

pp. 348-356 ◽

Cited By ~ 3

Author(s):

Wlodzislaw Duch ◽

◽

Rafal Adamczak ◽

KrzysAof Grabczewski ◽

Grzegorz Zal

Keyword(s):

Neural Networks ◽

Hybrid Approach ◽

Real Life ◽

Rule Extraction ◽

Global Minimization ◽

Minimization Method ◽

Life Problems ◽

Multilayered Perceptron ◽

Logical Functions ◽

Logical Rules

Methodology of extraction of optimal sets of logical rules using neural networks and global minimization procedures has been developed. Initial rules are extracted using density estimation neural networks with rectangular functions or multilayered perceptron (MLP) networks trained with constrained backpropagation algorithm, transforming MLPs into simpler networks performing logical functions. A constructive algorithm called CMLP2LN is proposed, in which rules of increasing specificity are generated consecutively by adding more nodes to the network. Neural rule extraction is followed by optimization of rules using global minimization techniques. Estimation of confidence of various sets of rules is discussed. The hybrid approach to rule extraction has been applied to a number of benchmark and real life problems with very good results.

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