Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Rolf Ergon"'
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 44, Iss 3, Pp 83-110 (2023)
Animals and other organisms in wild populations may adjust to climate change by means of plasticity and evolution, and it is an important task to find the contributions from each of these effects. Attempts to solve this disentanglement problem by use
Externí odkaz:
https://doaj.org/article/c010d5e6ea344031a1cbee1148a9a20c
Autor:
Rolf Ergon
Publikováno v:
Ecology and Evolution, Vol 13, Iss 7, Pp n/a-n/a (2023)
Abstract For theoretical studies, reaction norm evolution in a changing environment can be modeled by means of the multivariate breeder's equation, with the reaction norm parameters treated as traits in their own right. This is, however, not a feasib
Externí odkaz:
https://doaj.org/article/5718cd8091b04ecc8d84f2b745178b9e
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 43, Iss 4, Pp 131-140 (2022)
The multivariate breeder's equation, Lande (1979), was derived from the Price equation Price (1970,1972). Here, I present a derivation based on the BLUP (best linear unbiased predictions) equations in matrix form, first given in summation form by Hen
Externí odkaz:
https://doaj.org/article/f7f27f463ffb4c20823b7f214bdf257e
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 43, Iss 3, Pp 91-99 (2022)
Microevolutionary system identification was introduced Ergon (2022), with the specific purpose to show that predictions of genetic adaptations to climate change require that environmental reference values are properly defined. The theoretical develop
Externí odkaz:
https://doaj.org/article/4ca018f9c1ee4540be642e4dc17dbc04
Autor:
Rolf Ergon
Publikováno v:
Ecology and Evolution, Vol 12, Iss 4, Pp n/a-n/a (2022)
Abstract It is well documented that individuals of wild populations can adjust to climate change by means of phenotypic plasticity, but few reports on adaptation by means of genetically based microevolution caused by selection. Disentanglement of the
Externí odkaz:
https://doaj.org/article/92e5821c3bdf4f4f832f51ee37c579a3
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 40, Iss 1, Pp 51-69 (2019)
Living organisms adapt to changes in environment by phenotypic plasticity and evolution by natural selection (or they migrate). At detailed genetic levels these phenomena are complicated, and quantitative genetics attempts to capture essential proces
Externí odkaz:
https://doaj.org/article/2108b19339d148868a069f2a3802d5e6
Autor:
Bernt Lie, David Di Ruscio, Rolf Ergon, Bjørn Glemmestad, Maths Halstensen, Finn Haugen, Saba Mylvaganam, Nils-Olav Skeie, Dietmar Winkler
Publikováno v:
Modeling, Identification and Control, Vol 30, Iss 3, Pp 133-147 (2009)
Master studies in process automation started in 1989 at what soon became Telemark University College, and the 20 year anniversary marks the start of our own PhD degree in Process, Energy and Automation Engineering. The paper gives an overview of rese
Externí odkaz:
https://doaj.org/article/3188ce36373c408487a26b001c2da822
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 28, Iss 1, Pp 15-18 (2007)
The Smith-predictor is a well-known control structure for industrial time delay systems, where the basic idea is to estimate the non-delayed process output by use of a process model, and to use this estimate in an inner feedback control loop combined
Externí odkaz:
https://doaj.org/article/f3d6933d5c5f47b294f86cadc103e7ec
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 26, Iss 1, Pp 23-37 (2005)
Principal component regression (PCR) based on principal component analysis (PCA) and partial least squares regression (PLSR) are well known projection methods for analysis of multivariate data. They result in scores and loadings that may be visualize
Externí odkaz:
https://doaj.org/article/7711b28721484d63a3a6a35d38ce9c17
Autor:
Rolf Ergon
Publikováno v:
Modeling, Identification and Control, Vol 23, Iss 4, Pp 259-273 (2002)
The noise handling capabilities of principal component regression (PCR) and partial least squares regression (PLSR) are somewhat disputed issues, especially regarding regressor noise. In an attempt to indicate an answer to the question, this article
Externí odkaz:
https://doaj.org/article/5d84c868289548ac887bfd1bf7315546