Artificial neural network

Results: 1863



#Item
841Artificial Neural Networks - Lab 6 Analysis of odour patterns using self-organising feature maps Purpose To study classification and novelty detection using self-organising feature maps on a real application, using odour

Artificial Neural Networks - Lab 6 Analysis of odour patterns using self-organising feature maps Purpose To study classification and novelty detection using self-organising feature maps on a real application, using odour

Add to Reading List

Source URL: aass.oru.se

Language: English - Date: 2005-02-08 05:38:26
842PHYSICAL REVIEW E  VOLUME 59, NUMBER 4 APRIL 1999

PHYSICAL REVIEW E VOLUME 59, NUMBER 4 APRIL 1999

Add to Reading List

Source URL: www.itp.uni-bremen.de

Language: English - Date: 2011-08-10 05:51:03
843Functionalization of microarray devices: process optimization using a multiobjective PSO and multiresponse MARS modeling L. Villanova, P. Falcaro, D. Carta, I. Poli, R. Hyndman, K. Smith-Miles, Senior Member, IEEE Abstra

Functionalization of microarray devices: process optimization using a multiobjective PSO and multiresponse MARS modeling L. Villanova, P. Falcaro, D. Carta, I. Poli, R. Hyndman, K. Smith-Miles, Senior Member, IEEE Abstra

Add to Reading List

Source URL: robjhyndman.com

Language: English - Date: 2010-04-22 20:13:22
844Selfreparing Neural Networks: a Model for Recovery from Brain Damage Jaap M.J. Murre1,2, Robert Griffioen1, and I.H. Robertson3 1  University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands

Selfreparing Neural Networks: a Model for Recovery from Brain Damage Jaap M.J. Murre1,2, Robert Griffioen1, and I.H. Robertson3 1 University of Amsterdam, Roetersstraat 15, 1018 WB Amsterdam, The Netherlands

Add to Reading List

Source URL: www.neuromod.org

Language: English - Date: 2008-09-29 07:21:34
8455384 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen Part I, authors from A to K Compiled in the Neural Networks Research Centre at Helsinki University of Technology

5384 works that have been based on the Self-Organizing Map (SOM) method developed by Kohonen Part I, authors from A to K Compiled in the Neural Networks Research Centre at Helsinki University of Technology

Add to Reading List

Source URL: www.cis.hut.fi

Language: English - Date: 2010-01-04 03:38:56
846RM_test_roc_stencil_all_revise_bw.eps

RM_test_roc_stencil_all_revise_bw.eps

Add to Reading List

Source URL: prometheus.med.utah.edu

Language: English - Date: 2014-07-26 20:22:53
847Artificial Intelligence in Engineering–256 www.elsevier.com/locate/aieng Automatic design synthesis with artificial intelligence techniques F.J. Vico a,*, F.J. Veredas a, J.M. Bravo a, J. Almaraz b a

Artificial Intelligence in Engineering–256 www.elsevier.com/locate/aieng Automatic design synthesis with artificial intelligence techniques F.J. Vico a,*, F.J. Veredas a, J.M. Bravo a, J. Almaraz b a

Add to Reading List

Source URL: geb.uma.es

Language: English - Date: 2012-09-06 08:14:45
848Face Detection with Neural Networks Samuel Rota Bul` o Universit` a Ca’ Foscari Venezia DAIS

Face Detection with Neural Networks Samuel Rota Bul` o Universit` a Ca’ Foscari Venezia DAIS

Add to Reading List

Source URL: www.dsi.unive.it

Language: English - Date: 2012-10-15 07:26:11
849Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor

Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor

Add to Reading List

Source URL: www.teradeep.com

Language: English - Date: 2015-03-07 08:16:31
850Cybernetics / Machine learning / Computational statistics / Hopfield network / Networks / Artificial neural network / Self-organizing map / Statistical classification / Storage / Neural networks / Computational neuroscience / Statistics

Artificial Neural Networks – Lab 5 Self-organising feature maps and Hopfield networks Purpose To study clustering with a self-organising feature map and pattern association with a Hopfield network.

Add to Reading List

Source URL: aass.oru.se

Language: English - Date: 2005-02-08 05:38:25