Activation function

Results: 109



#Item
51Ch.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
52A Norwegian NETtalk Program Terje Kristensen The Departement of Computer Science , Bergen University College, Nygårdsgaten 112, N-5020 Bergen, Norway.

A Norwegian NETtalk Program Terje Kristensen The Departement of Computer Science , Bergen University College, Nygårdsgaten 112, N-5020 Bergen, Norway.

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Source URL: www.nik.no

Language: English - Date: 2004-03-09 04:39:29
53Hydrol. Earth Syst. Sci., 16, 1151–1169, 2012 www.hydrol-earth-syst-sci.net[removed]doi:[removed]hess[removed] © Author(s[removed]CC Attribution 3.0 License.  Hydrology and

Hydrol. Earth Syst. Sci., 16, 1151–1169, 2012 www.hydrol-earth-syst-sci.net[removed]doi:[removed]hess[removed] © Author(s[removed]CC Attribution 3.0 License. Hydrology and

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Source URL: www.hydrol-earth-syst-sci.net

Language: English - Date: 2014-12-04 03:06:09
54Learning and Motivation[removed]–103 www.elsevier.com/locate/l&m The implications of null patterns and output unit activation functions on simulation studies of learning: A case study of patterning

Learning and Motivation[removed]–103 www.elsevier.com/locate/l&m The implications of null patterns and output unit activation functions on simulation studies of learning: A case study of patterning

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Source URL: www.bcp.psych.ualberta.ca

Language: English - Date: 2012-07-11 15:01:15
55User’s Guide to Pittnet Neural Network Educational Software  Brian Carnahan and Alice E. Smith Department of Industrial Engineering 1048 Benedum Hall University of Pittsburgh

User’s Guide to Pittnet Neural Network Educational Software Brian Carnahan and Alice E. Smith Department of Industrial Engineering 1048 Benedum Hall University of Pittsburgh

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Source URL: www.foretrade.com

Language: English - Date: 2009-09-11 07:24:22
56In silico discovery and validation of potent small-molecule inhibitors targeting the activation function 2 site of human oestrogen receptor a

In silico discovery and validation of potent small-molecule inhibitors targeting the activation function 2 site of human oestrogen receptor a

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Source URL: breast-cancer-research.com

Language: English
57Microsoft Word - V07N01P2[removed]doc

Microsoft Word - V07N01P2[removed]doc

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Source URL: www.bcp.psych.ualberta.ca

Language: English - Date: 2012-07-11 15:01:02
58This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1  Brief Papers

This article has been accepted for inclusion in a future issue of this journal. Content is final as presented, with the exception of pagination. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 1 Brief Papers

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Source URL: www.bcp.psych.ualberta.ca

Language: English - Date: 2012-07-11 15:01:06
59Seminar MPOC: The use of Neural Networks in Ocean Modelling Erik van Sebille June 6, 2005 Abstract This paper gives a short introduction in the use of Neural Networks in

Seminar MPOC: The use of Neural Networks in Ocean Modelling Erik van Sebille June 6, 2005 Abstract This paper gives a short introduction in the use of Neural Networks in

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Source URL: www.erik.vansebille.com

Language: English - Date: 2011-03-14 15:29:13
60in Proceedings of the 1999 International Joint Conference on Neural Network (pp. 304i–304vi)  304i Internal representation in networks of non-monotonic processing units David B. McCaughan

in Proceedings of the 1999 International Joint Conference on Neural Network (pp. 304i–304vi) 304i Internal representation in networks of non-monotonic processing units David B. McCaughan

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Source URL: www.bcp.psych.ualberta.ca

Language: English - Date: 2012-07-11 15:01:11