Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Christoph Bunzmann"'
Autor:
Tobias Zeiger, Christoph Gastl, Christoph Bunzmann, Samuel Witte, Florian Töpfer, Kathy Reichel
Publikováno v:
Zwischenlagerung hoch radioaktiver Abfälle ISBN: 9783658190392
Bestrahlte Kernbrennstoffe sowie aus der Aufarbeitung bestrahlter Kernbrennstoffe zuruckzunehmender radioaktiver Abfall werden bis zu ihrer Ablieferung an ein Endlager derzeit in Zwischenlagern nach § 6 des Atomgesetzes (AtG) aufbewahrt. Die geltend
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50ba247b3c140aa2fe22a4da79e76fd3
https://doi.org/10.1007/978-3-658-19040-8_10
https://doi.org/10.1007/978-3-658-19040-8_10
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 302:56-63
We present a training algorithm for multilayer perceptrons which relates to the technique of principal component analysis. The latter is performed with respect to a correlation matrix which is computed from the example inputs and their target outputs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c00239532905f0880b1d0b5bff294619
https://doi.org/10.1016/s0378-4371(01)00440-x
https://doi.org/10.1016/s0378-4371(01)00440-x
Publikováno v:
Physical Review E, 72(2):026117. AMER PHYSICAL SOC
A training algorithm for multilayer perceptrons is discussed and studied in detail, which relates to the technique of principal component analysis. The latter is performed with respect to a correlation matrix computed from the example inputs and thei
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ad842f1293f9152d579af8bc0c823f9
https://doi.org/10.1103/physreve.72.026117
https://doi.org/10.1103/physreve.72.026117
A learning algorithm for multilayer perceptrons is presented which is based on finding the principal components of a correlation matrix computed from the example inputs and their target outputs. For large networks our procedure needs far fewer exampl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4448990965083e0ae38185906a8cfee6