Nonlinear Poisson regression using neural networks: a simulation study-Reference-Cited by-同舟云学术

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Nonlinear Poisson regression using neural networks: a simulation study

Published:2009-07-28 Issue:8 Volume:18 Page:939-943
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Fallah Nader,Gu Hong,Mohammad Kazem,Seyyedsalehi Seyyed Ali,Nourijelyani Keramat,Eshraghian Mohammad Reza

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-009-0277-8.pdf

Reference20 articles.

1. McCulloch W, Pitts W (1943) A logical calculus of ideas immanent in nervous activity. Bull Math Biophys 5:115–133. doi: 10.1007/BF02478259

2. Ripley BD (1996) Pattern recognition and neural networks. Cambridge University Press, London

3. Bishop CM (2006) Pattern recognition and machine learning. Springer, New York

4. Ripley RM, Harris AL, Tarassenko L (2004) Non-linear survival analysis using neural networks. Stat Med 23:825–842. doi: 10.1002/sim.1655

5. Faraggi D, Simon R (1995) The maximum likelihood neural network as a statistical classification model. J Statist Plann Inference 46:93–104. doi: 10.1016/0378-3758(95)99068-2

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