Zobrazeno 1 - 10
of 258
pro vyhledávání: '"Adams, R.G."'
Publikováno v:
In European Journal of Pharmaceutical Sciences 2012 45(1):116-127
Publikováno v:
In Applied Soft Computing Journal 2011 11(2):2367-2375
Publikováno v:
American Journal of Alternative Agriculture, 2000 Jan 01. 15(2), 50-59.
Externí odkaz:
https://www.jstor.org/stable/44503138
Autor:
Adams, R.G., Alin, J., Biede, O., Booth, N.J., deMontigny, D., Drew, R., Idem, R., Laursen, M., Peralta-Solorio, D., Sanpasertparnich, T., Trunkfield, A.
Publikováno v:
In Energy Procedia February 2009 1(1):3801-3808
Publikováno v:
In Applied Soft Computing Journal January 2007 7(1):203-210
Autor:
Sinars, D.B. *, Chandler, G.A., Bailey, J.E., Mancini, R.C., Rochau, G.A., Wenger, D.F., Adams, R.G., Adams, M.L., Scott, H.A., Faenov, A.Ya., Pikuz, T.A., Pikuz, S.A.
Publikováno v:
In Journal of Quantitative Spectroscopy and Radiative Transfer 2006 99(1):595-613
Publikováno v:
In Neurocomputing December 2004 62:459-491
Publikováno v:
In Applied Soft Computing Journal 2001 1(3):189-200
Our work is concerned with finding optimum connection strategies in high-performance associative memory models. Taking inspiration from axonal branching in biological neurons, we impose a displacement of the point of efferent arborisation, so that th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______882::1dae9fa9b8b40b91b62db4dff6243616
http://hdl.handle.net/2299/764
http://hdl.handle.net/2299/764
It has been found that the performance of an associative memory model trained with the perceptron learning rule can be improved by increasing the learning threshold. When the learning threshold increases, the range of possible values of the update th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______882::e9c65f96d7f34678415338f11a8a71bd
http://hdl.handle.net/2299/772
http://hdl.handle.net/2299/772