Group method of data handling

Results: 29



#Item
11221  Modelling and Prediction of Toxicity of Environmental Pollutants Frank Lemke1, Johann-Adolf Müller1, and Emilio Benfenati2 1

221 Modelling and Prediction of Toxicity of Environmental Pollutants Frank Lemke1, Johann-Adolf Müller1, and Emilio Benfenati2 1

Add to Reading List

Source URL: www.knowledgeminer.eu

Language: English - Date: 2012-09-25 05:27:08
12Carcinogenicity Prediction of Aromatic Compounds Using Self-organising Data Mining Frank LEMKE*, Emilio BENFENATI** *KnowledgeMiner Software, Germany ** Istituto di Ricerche Farmacologiche

Carcinogenicity Prediction of Aromatic Compounds Using Self-organising Data Mining Frank LEMKE*, Emilio BENFENATI** *KnowledgeMiner Software, Germany ** Istituto di Ricerche Farmacologiche "Mario Negri", Italy

Add to Reading List

Source URL: www.knowledgeminer.com

Language: English - Date: 2003-10-20 09:42:00
13Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks Tatyana Aksenova1,2 , Vladimir Volkovich3 , and Alessandro E.P. Villa1 1

Robust Structural Modeling and Outlier Detection with GMDH-Type Polynomial Neural Networks Tatyana Aksenova1,2 , Vladimir Volkovich3 , and Alessandro E.P. Villa1 1

Add to Reading List

Source URL: pnn.pnnsoft.com

Language: English - Date: 2008-06-19 07:01:56
14Microsoft Word - i5030101.doc

Microsoft Word - i5030101.doc

Add to Reading List

Source URL: www.mdpi.org

Language: English - Date: 2006-01-30 11:50:14
15Medical Data Analysis Using Self-Organizing Data Mining Technologies Frank Lemke1, Johann-Adolf Müller2 1  2

Medical Data Analysis Using Self-Organizing Data Mining Technologies Frank Lemke1, Johann-Adolf Müller2 1 2

Add to Reading List

Source URL: www.knowledgeminer.com

Language: English - Date: 2001-12-03 12:12:00
16Carcinogenicity Prediction of Aromatic Compounds Based on Molecular Descriptors Results from Applying Self-Organising Data Mining Technologies

Carcinogenicity Prediction of Aromatic Compounds Based on Molecular Descriptors Results from Applying Self-Organising Data Mining Technologies

Add to Reading List

Source URL: www.knowledgeminer.com

Language: English - Date: 2001-12-03 12:12:00
17Microsoft Word - MED_05_131_7.doc

Microsoft Word - MED_05_131_7.doc

Add to Reading List

Source URL: www.knowledgeminer.eu

Language: English - Date: 2012-09-25 05:27:18
18221  Modelling and Prediction of Toxicity of Environmental Pollutants Frank Lemke1, Johann-Adolf Müller1, and Emilio Benfenati2 1

221 Modelling and Prediction of Toxicity of Environmental Pollutants Frank Lemke1, Johann-Adolf Müller1, and Emilio Benfenati2 1

Add to Reading List

Source URL: www.knowledgeminer.com

Language: English - Date: 2004-11-29 23:17:00
19Recent Developments of Self-Organising Modeling in Prediction and Analysis of Stock Market Ivakhnenko, A.G. Glushkov Institute of Cybernetics, Ukraina, Kyiv 34, PO Box 298-9, e-mail: [removed] http://come.to/GMDH

Recent Developments of Self-Organising Modeling in Prediction and Analysis of Stock Market Ivakhnenko, A.G. Glushkov Institute of Cybernetics, Ukraina, Kyiv 34, PO Box 298-9, e-mail: [removed] http://come.to/GMDH

Add to Reading List

Source URL: aiinfinance.com

Language: English - Date: 2010-06-25 04:24:21
20From: Proceedings of the Third International Conference on Multistrategy Learning. Copyright © 1996, AAAI (www.aaai.org). All rights reserved.  Fusing the Results of Diverse Algorithms John F. Elder IV, Ph.D. Elder Cons

From: Proceedings of the Third International Conference on Multistrategy Learning. Copyright © 1996, AAAI (www.aaai.org). All rights reserved. Fusing the Results of Diverse Algorithms John F. Elder IV, Ph.D. Elder Cons

Add to Reading List

Source URL: www.aaai.org

Language: English - Date: 2006-01-11 11:06:53