Enviar búsqueda
Cargar
Presentacion para slideshare
•
Descargar como PPTX, PDF
•
0 recomendaciones
•
57 vistas
M
marthaherrerar
Seguir
archivo publicado virtus
Leer menos
Leer más
Denunciar
Compartir
Denunciar
Compartir
1 de 1
Descargar ahora
Recomendados
Presentation Integrated Project - Inteligent Systems - MEI
Presentation Integrated Project - Inteligent Systems - MEI
João Ferreira
Approximation models (or surrogate models) provide an efficient substitute to expen- sive physical simulations and an efficient solution to the lack of physical models of system behavior. However, it is challenging to quantify the accuracy and reliability of such ap- proximation models in a region of interest or the overall domain without additional system evaluations. Standard error measures, such as the mean squared error, the cross-validation error, and the Akaikes information criterion, provide limited (often inadequate) informa- tion regarding the accuracy of the final surrogate. This paper introduces a novel and model independent concept to quantify the level of errors in the function value estimated by the final surrogate in any given region of the design domain. This method is called the Re- gional Error Estimation of Surrogate (REES). Assuming the full set of available sample points to be fixed, intermediate surrogates are iteratively constructed over a sample set comprising all samples outside the region of interest and heuristic subsets of samples inside the region of interest (i.e., intermediate training points). The intermediate surrogate is tested over the remaining sample points inside the region of interest (i.e., intermediate test points). The fraction of sample points inside region of interest, which are used as interme- diate training points, is fixed at each iteration, with the total number of iterations being pre-specified. The estimated median and maximum relative errors within the region of in- terest for the heuristic subsets at each iteration are used to fit a distribution of the median and maximum error, respectively. The estimated statistical mode of the median and the maximum error, and the absolute maximum error are then represented as functions of the density of intermediate training points, using regression models. The regression models are then used to predict the expected median and maximum regional errors when all the sample points are used as training points. Standard test functions and a wind farm power generation problem are used to illustrate the effectiveness and the utility of such a regional error quantification method.
PEMF2_SDM_2012_Ali
PEMF2_SDM_2012_Ali
MDO_Lab
Resumo do artigo como lidar com a morte.
Resumo do artigo como lidar com a morte.
grupoterminalidade
TeràPies De Xoc
TeràPies De Xoc
bat1d01
Medzinárodný deň žien
!! Mdz _2013
!! Mdz _2013
Jan Dankovic
Bases del torneo mejoradas
Bases del torneo mejoradas
JimenezPadel
Presentation of chania souda
Presentation of chania souda
Κώστας Γεωργίου
LOS ACADEMICOS Y EL DESARROLLO DE LAS NIIF UNA INVITACION A PARTICIPAR
LOS ACADEMICOS Y EL DESARROLLO DE LAS NIIF UNA INVITACION A PARTICIPAR
overmendoza2
Recomendados
Presentation Integrated Project - Inteligent Systems - MEI
Presentation Integrated Project - Inteligent Systems - MEI
João Ferreira
Approximation models (or surrogate models) provide an efficient substitute to expen- sive physical simulations and an efficient solution to the lack of physical models of system behavior. However, it is challenging to quantify the accuracy and reliability of such ap- proximation models in a region of interest or the overall domain without additional system evaluations. Standard error measures, such as the mean squared error, the cross-validation error, and the Akaikes information criterion, provide limited (often inadequate) informa- tion regarding the accuracy of the final surrogate. This paper introduces a novel and model independent concept to quantify the level of errors in the function value estimated by the final surrogate in any given region of the design domain. This method is called the Re- gional Error Estimation of Surrogate (REES). Assuming the full set of available sample points to be fixed, intermediate surrogates are iteratively constructed over a sample set comprising all samples outside the region of interest and heuristic subsets of samples inside the region of interest (i.e., intermediate training points). The intermediate surrogate is tested over the remaining sample points inside the region of interest (i.e., intermediate test points). The fraction of sample points inside region of interest, which are used as interme- diate training points, is fixed at each iteration, with the total number of iterations being pre-specified. The estimated median and maximum relative errors within the region of in- terest for the heuristic subsets at each iteration are used to fit a distribution of the median and maximum error, respectively. The estimated statistical mode of the median and the maximum error, and the absolute maximum error are then represented as functions of the density of intermediate training points, using regression models. The regression models are then used to predict the expected median and maximum regional errors when all the sample points are used as training points. Standard test functions and a wind farm power generation problem are used to illustrate the effectiveness and the utility of such a regional error quantification method.
PEMF2_SDM_2012_Ali
PEMF2_SDM_2012_Ali
MDO_Lab
Resumo do artigo como lidar com a morte.
Resumo do artigo como lidar com a morte.
grupoterminalidade
TeràPies De Xoc
TeràPies De Xoc
bat1d01
Medzinárodný deň žien
!! Mdz _2013
!! Mdz _2013
Jan Dankovic
Bases del torneo mejoradas
Bases del torneo mejoradas
JimenezPadel
Presentation of chania souda
Presentation of chania souda
Κώστας Γεωργίου
LOS ACADEMICOS Y EL DESARROLLO DE LAS NIIF UNA INVITACION A PARTICIPAR
LOS ACADEMICOS Y EL DESARROLLO DE LAS NIIF UNA INVITACION A PARTICIPAR
overmendoza2
Busqueda significativa clase 25 de feb
Busqueda significativa clase 25 de feb
akylegna
A investigação sobre a vida de Jesus continua num dos momentos mais significantes da vida Dele, sua apresentação e presença no Templo de Jerusalém.
Lucas Capitulo 02b - Jesus e o Templo
Lucas Capitulo 02b - Jesus e o Templo
AdolesBetel
Máquina de estados finitos
Máquina de estados finitos
Javier Trujillo
Un members
Un members
Tahsin5515
La identidad de nuestra empresa es lo primordial a la hora de crearla, es importante destacar que un conjunto de factores influyen en su formación y es relevante tener en cuenta cada uno de ellos. Es importante destacar que la marca que podamos crear, la fuerza de su nombre e imagen y lo que transmita, será nuestra principal herramienta de marketing en el turismo.
BRANDING - La identidad de tu empresa
BRANDING - La identidad de tu empresa
Argentina Viajera
Crise financeira, arrecadação e impacto social
Crise financeira, arrecadação e impacto social
Roberto Goldstajn
Grupo17
Grupo17
grupo17
Trabajo de blog
Trabajo de blog
lossantosgnr
LO REALIZADO EN LA ADMINISTRACIÓN DEL DOCTOR CARLOS ANDRES PEREZ GALINDO “ACADEMIA CON RESPONSABILIDAD SOCIAL” – UNIVERSIDAD SANTIAGO DE CALI
MAYO 8 AL 14 DE 2013
MAYO 8 AL 14 DE 2013
La Recuperación de La Santiago
Más contenido relacionado
Destacado
Busqueda significativa clase 25 de feb
Busqueda significativa clase 25 de feb
akylegna
A investigação sobre a vida de Jesus continua num dos momentos mais significantes da vida Dele, sua apresentação e presença no Templo de Jerusalém.
Lucas Capitulo 02b - Jesus e o Templo
Lucas Capitulo 02b - Jesus e o Templo
AdolesBetel
Máquina de estados finitos
Máquina de estados finitos
Javier Trujillo
Un members
Un members
Tahsin5515
La identidad de nuestra empresa es lo primordial a la hora de crearla, es importante destacar que un conjunto de factores influyen en su formación y es relevante tener en cuenta cada uno de ellos. Es importante destacar que la marca que podamos crear, la fuerza de su nombre e imagen y lo que transmita, será nuestra principal herramienta de marketing en el turismo.
BRANDING - La identidad de tu empresa
BRANDING - La identidad de tu empresa
Argentina Viajera
Crise financeira, arrecadação e impacto social
Crise financeira, arrecadação e impacto social
Roberto Goldstajn
Grupo17
Grupo17
grupo17
Trabajo de blog
Trabajo de blog
lossantosgnr
LO REALIZADO EN LA ADMINISTRACIÓN DEL DOCTOR CARLOS ANDRES PEREZ GALINDO “ACADEMIA CON RESPONSABILIDAD SOCIAL” – UNIVERSIDAD SANTIAGO DE CALI
MAYO 8 AL 14 DE 2013
MAYO 8 AL 14 DE 2013
La Recuperación de La Santiago
Destacado
(9)
Busqueda significativa clase 25 de feb
Busqueda significativa clase 25 de feb
Lucas Capitulo 02b - Jesus e o Templo
Lucas Capitulo 02b - Jesus e o Templo
Máquina de estados finitos
Máquina de estados finitos
Un members
Un members
BRANDING - La identidad de tu empresa
BRANDING - La identidad de tu empresa
Crise financeira, arrecadação e impacto social
Crise financeira, arrecadação e impacto social
Grupo17
Grupo17
Trabajo de blog
Trabajo de blog
MAYO 8 AL 14 DE 2013
MAYO 8 AL 14 DE 2013
Presentacion para slideshare
1.
Ejemplo- Naturaleza
Virtus Escuela Tecnológica ITC
Descargar ahora