Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal
- Autores:
-
Galeano-Vasco, Luis
Cerón-Muñoz, Mario
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2013
- Institución:
- Universidad de Córdoba
- Repositorio:
- Repositorio Institucional Unicórdoba
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unicordoba.edu.co:ucordoba/5379
- Acceso en línea:
- https://repositorio.unicordoba.edu.co/handle/ucordoba/5379
https://doi.org/10.21897/rmvz.158
- Palabra clave:
- Connectionist Models
growth
Non-linear Models
nonlinear mixed effect model
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc-sa/4.0/
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Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| dc.title.translated.eng.fl_str_mv |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| title |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| spellingShingle |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal Connectionist Models growth Non-linear Models nonlinear mixed effect model |
| title_short |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| title_full |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| title_fullStr |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| title_full_unstemmed |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| title_sort |
Modelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no lineal |
| dc.creator.fl_str_mv |
Galeano-Vasco, Luis Cerón-Muñoz, Mario |
| dc.contributor.author.spa.fl_str_mv |
Galeano-Vasco, Luis Cerón-Muñoz, Mario |
| dc.subject.spa.fl_str_mv |
Connectionist Models growth Non-linear Models nonlinear mixed effect model |
| topic |
Connectionist Models growth Non-linear Models nonlinear mixed effect model |
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2013 |
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2013-09-05 00:00:00 2022-07-01T20:58:00Z |
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2013-09-05 |
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Reddish JM, Nestor KE, Lilburn MS. Effect of selection for growth on onset of sexual maturity in randombred and growth-selected lines of japanese quail. Poult Sci 2003; 82:187–191. http://dx.doi.org/10.1093/ps/82.2.187 Amira E El-Dlebshany. The relationship between age at sexual maturity and some productive traits in local chickens strain. Egypt Poult Sci 2008; 28(4):1253-1263. Dunnington EA, Siegel PB. Age and body weight at sexual maturity in female White Leghorn. Poult Sci 1984; 63:828-830. http://dx.doi.org/10.3382/ps.0630828 Vo KV, Boone MA, Hughes BL, Knechtges JF. Effects of ambient temperature on sexual maturity. Poult Sci 1980; 59(11):2532-2537. http://dx.doi.org/10.3382/ps.0592532 Aggrey SE. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult Sci 2002; 81:1782–1788. http://dx.doi.org/10.1093/ps/81.12.1782 Aguilar C, Cortés H, Allende R. Los modelos de simulación. Una herramienta de apoyo a la gestión pecuaria. Arch Latinoam Prod Anim 2002; 10(3): 226-231. Heywang BW. Effect of cooling houses for growing chickens during hot weather. Poult Sci 1947; 26(1):20-24. http://dx.doi.org/10.3382/ps.0260020 Brody S. Bioenergetics and growth. New York: Reinhold Publishing Corporation; 1945. Laird AK, Tyler SA, Barton AD. Dynamics of normal growth. Growth 1965; 29:233-248. Aggrey SE. Logistic nonlinear mixed effects model for estimating growth parameters. Poult Sci 2009; 88:276-280. http://dx.doi.org/10.3382/ps.2008-00317 Richards FJ. A flexible growth function for empirical use. J Exp Bot 1959; 10:290-300. http://dx.doi.org/10.1093/jxb/10.2.290 Von Bertalanffy L. A quantitative theory of organic growth. Hum Biol 1938; 10:181-213. Roush WB, Branton SL. A Comparison of fitting growth models with a genetic algorithm and nonlinear regression. Poult Sci 2005; 84(3):494-502. http://dx.doi.org/10.1093/ps/84.3.494 Roush WB, Dozier III WA, y Branton SL. Comparison of gompertz and neural network models of broiler growth. Poult Sci 2006; 85:794–797. http://dx.doi.org/10.1093/ps/85.4.794 Wang Z, Zuidhof MJ. Estimation of growth parameters using a nonlinear mixed gompertz model. Poult Sci 2004; 83:847–852. http://dx.doi.org/10.1093/ps/83.6.847 Ahmadi H, Golian A. Neural network model for egg production curve. J Anim Vet Adv 2008; 7(9):1168-1170. Yee D, Prior MG, Florence LZ. Development of predictive models of laboratory animal growth using artificial neural networks. Comput Appl Biosci 1993; 9(5):517-22. http://dx.doi.org/10.1093/bioinformatics/9.5.517 Pitarque A, Roy JF, Ruiz JC. Redes neurales vs modelos estadísticos: Simulaciones sobre tareas de predicción y clasificación. Psicothema 1998; 19:387-400. Savegnago RP, Nunes BN, Caetano SL, Ferraudo AS, Schmidt GS, Ledur MS, Munari DP. Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens. Poult Sci 2011; 2011 90:705-711. http://dx.doi.org/10.3382/ps.2010-00723 Pitarque A, Ruiz JC, Roy JF. 2000. Las redes neuronales como herramientas estadísticas no paramétricas de clasificación. Psicothema 2000; 12(Supl 2):459-463. R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2008. ISBN 3-900051-07-0; (fecha de acceso 1 de enero de 2013). URL http://www.R-project.org. Oberstone J. Management Science: Concepts, Insights, and Applications. New York: West Publ. Co; 1990. |
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Galeano-Vasco, Luisd154cec4-3acc-4bb4-9b59-bbe682823840-1Cerón-Muñoz, Marioe9d8ade5-d7c7-4d0f-ab40-34dcbdbd03dd-12013-09-05 00:00:002022-07-01T20:58:00Z2013-09-05 00:00:002022-07-01T20:58:00Z2013-09-050122-0268https://repositorio.unicordoba.edu.co/handle/ucordoba/537910.21897/rmvz.158https://doi.org/10.21897/rmvz.1581909-0544application/pdfspaUniversidad de Córdobahttps://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2https://revistamvz.unicordoba.edu.co/article/view/158Connectionist ModelsgrowthNon-linear Modelsnonlinear mixed effect modelModelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no linealModelación del crecimiento de pollitas Lohmann LSL con redes neuronales y modelos de regresión no linealArtículo de revistaJournal articleinfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1info:eu-repo/semantics/publishedVersionTexthttp://purl.org/redcol/resource_type/ARTREFhttp://purl.org/coar/version/c_970fb48d4fbd8a85Reddish JM, Nestor KE, Lilburn MS. Effect of selection for growth on onset of sexual maturity in randombred and growth-selected lines of japanese quail. Poult Sci 2003; 82:187–191. http://dx.doi.org/10.1093/ps/82.2.187Amira E El-Dlebshany. The relationship between age at sexual maturity and some productive traits in local chickens strain. Egypt Poult Sci 2008; 28(4):1253-1263.Dunnington EA, Siegel PB. Age and body weight at sexual maturity in female White Leghorn. Poult Sci 1984; 63:828-830. http://dx.doi.org/10.3382/ps.0630828Vo KV, Boone MA, Hughes BL, Knechtges JF. Effects of ambient temperature on sexual maturity. Poult Sci 1980; 59(11):2532-2537. http://dx.doi.org/10.3382/ps.0592532Aggrey SE. Comparison of three nonlinear and spline regression models for describing chicken growth curves. Poult Sci 2002; 81:1782–1788. http://dx.doi.org/10.1093/ps/81.12.1782Aguilar C, Cortés H, Allende R. Los modelos de simulación. Una herramienta de apoyo a la gestión pecuaria. Arch Latinoam Prod Anim 2002; 10(3): 226-231.Heywang BW. Effect of cooling houses for growing chickens during hot weather. Poult Sci 1947; 26(1):20-24. http://dx.doi.org/10.3382/ps.0260020Brody S. Bioenergetics and growth. New York: Reinhold Publishing Corporation; 1945.Laird AK, Tyler SA, Barton AD. Dynamics of normal growth. Growth 1965; 29:233-248.Aggrey SE. Logistic nonlinear mixed effects model for estimating growth parameters. Poult Sci 2009; 88:276-280. http://dx.doi.org/10.3382/ps.2008-00317Richards FJ. A flexible growth function for empirical use. J Exp Bot 1959; 10:290-300. http://dx.doi.org/10.1093/jxb/10.2.290Von Bertalanffy L. A quantitative theory of organic growth. Hum Biol 1938; 10:181-213.Roush WB, Branton SL. A Comparison of fitting growth models with a genetic algorithm and nonlinear regression. Poult Sci 2005; 84(3):494-502. http://dx.doi.org/10.1093/ps/84.3.494Roush WB, Dozier III WA, y Branton SL. Comparison of gompertz and neural network models of broiler growth. Poult Sci 2006; 85:794–797. http://dx.doi.org/10.1093/ps/85.4.794Wang Z, Zuidhof MJ. Estimation of growth parameters using a nonlinear mixed gompertz model. Poult Sci 2004; 83:847–852. http://dx.doi.org/10.1093/ps/83.6.847Ahmadi H, Golian A. Neural network model for egg production curve. J Anim Vet Adv 2008; 7(9):1168-1170.Yee D, Prior MG, Florence LZ. Development of predictive models of laboratory animal growth using artificial neural networks. Comput Appl Biosci 1993; 9(5):517-22. http://dx.doi.org/10.1093/bioinformatics/9.5.517Pitarque A, Roy JF, Ruiz JC. Redes neurales vs modelos estadísticos: Simulaciones sobre tareas de predicción y clasificación. Psicothema 1998; 19:387-400.Savegnago RP, Nunes BN, Caetano SL, Ferraudo AS, Schmidt GS, Ledur MS, Munari DP. Comparison of logistic and neural network models to fit to the egg production curve of White Leghorn hens. Poult Sci 2011; 2011 90:705-711. http://dx.doi.org/10.3382/ps.2010-00723Pitarque A, Ruiz JC, Roy JF. 2000. Las redes neuronales como herramientas estadísticas no paramétricas de clasificación. Psicothema 2000; 12(Supl 2):459-463.R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2008. ISBN 3-900051-07-0; (fecha de acceso 1 de enero de 2013). URL http://www.R-project.org.Oberstone J. Management Science: Concepts, Insights, and Applications. New York: West Publ. Co; 1990.https://revistamvz.unicordoba.edu.co/article/download/158/227Núm. 3 , Año 2013 : Revista MVZ Córdoba Volumen 18(3) Septiembre-Diciembre 201338673386118Revista MVZ CórdobaPublicationOREORE.xmltext/xml2589https://repositorio.unicordoba.edu.co/bitstreams/57e35982-3f8d-40ec-9454-5e52be65334b/download502710679d5dae77e429287f199164d9MD51ucordoba/5379oai:repositorio.unicordoba.edu.co:ucordoba/53792023-10-06 00:47:00.854https://creativecommons.org/licenses/by-nc-sa/4.0/metadata.onlyhttps://repositorio.unicordoba.edu.coRepositorio Universidad de Córdobabdigital@metabiblioteca.com |