Radial basis function network

Results: 46



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11Microsoft Word - IBSAI NNets, Gene, NLP.doc

Microsoft Word - IBSAI NNets, Gene, NLP.doc

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Source URL: www.foibg.com

Language: English - Date: 2015-02-02 08:45:44
12Microsoft Word - IBSAI NNets, Gene, NLP.doc

Microsoft Word - IBSAI NNets, Gene, NLP.doc

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Source URL: www.foibg.com

Language: English - Date: 2015-02-02 08:45:44
13TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA  TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA September 2005 First edition

TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA TRAIN AND ANALYZE NEURAL NETWORKS TO FIT YOUR DATA September 2005 First edition

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Source URL: www.wolfram.com

Language: English - Date: 2005-12-27 14:36:27
14INSTITUTE OF PHYSICS PUBLISHING Inverse Problems–991 INVERSE PROBLEMS PII: S0266

INSTITUTE OF PHYSICS PUBLISHING Inverse Problems–991 INVERSE PROBLEMS PII: S0266

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Source URL: links.uwaterloo.ca

Language: English - Date: 2007-07-18 17:57:35
15Instance Based Learning Read Ch. 8]  -Nearest Neighbor  Locally weighted regression  Radial basis functions  Case-based reasoning

Instance Based Learning Read Ch. 8]  -Nearest Neighbor  Locally weighted regression  Radial basis functions  Case-based reasoning

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Source URL: aass.oru.se

Language: English - Date: 2005-03-31 12:57:43
16Microsoft Word - IBSAI NNets, Gene, NLP.doc

Microsoft Word - IBSAI NNets, Gene, NLP.doc

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Source URL: www.foibg.com

Language: English - Date: 2015-02-02 08:45:45
17NEURAL NETWORKS IN ECONOMICS Background, Applications and New Developments RALF HERBRICH MAX KEILBACH THORE GRAEPEL PETER BOLLMANN-SDORRA

NEURAL NETWORKS IN ECONOMICS Background, Applications and New Developments RALF HERBRICH MAX KEILBACH THORE GRAEPEL PETER BOLLMANN-SDORRA

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Source URL: www.smartquant.com

Language: English - Date: 2014-02-08 06:27:51
18Appendix A  Definitions and basic concepts A.1

Appendix A Definitions and basic concepts A.1

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Source URL: www.q12.org

Language: English - Date: 2002-03-13 22:40:44
19Microsoft Word - KRBF1.doc

Microsoft Word - KRBF1.doc

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Source URL: www.recveb.ucsb.edu

Language: English
20Ch.6 Feed-forward neural network models 6.6 Multi-layer perceptron classifier [Book, Sect[removed]The multi-layer perceptron (MLP) NN model can easily be modified for classification problems. If only 2 classes C1 and C2 ,

Ch.6 Feed-forward neural network models 6.6 Multi-layer perceptron classifier [Book, Sect[removed]The multi-layer perceptron (MLP) NN model can easily be modified for classification problems. If only 2 classes C1 and C2 ,

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Source URL: www.ocgy.ubc.ca

Language: English - Date: 2013-10-24 18:43:08