Use of Artificial Neural Networks in Determining Domestic Violence Predictors
This paper aims to determine the predictors of violence against women by their partners, according to the National Survey of Demography and Health - ENDS - Colombia, 2017 using artificial neural networks. The results indicate that the best forecasting model found is the artificial neural network, pe...
- Autores:
-
silva d, jesus g
GUERRA ALEMAN, ERICK
Camargo ACUÑA, Genesis Yulie
REDONDO BILBAO, OSMAN ENRIQUE
Hernandez-P, Hugo
León Castro, Bella
Arrieta Meléndez, Pedro
Neira Rodado, Dionicio
- Tipo de recurso:
- http://purl.org/coar/resource_type/c_816b
- Fecha de publicación:
- 2019
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/5578
- Acceso en línea:
- https://hdl.handle.net/11323/5578
https://repositorio.cuc.edu.co/
- Palabra clave:
- Artificial neural network
Multilayer perceptron
Domestic violence
- Rights
- openAccess
- License
- CC0 1.0 Universal
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Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| title |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| spellingShingle |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors Artificial neural network Multilayer perceptron Domestic violence |
| title_short |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| title_full |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| title_fullStr |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| title_full_unstemmed |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| title_sort |
Use of Artificial Neural Networks in Determining Domestic Violence Predictors |
| dc.creator.fl_str_mv |
silva d, jesus g GUERRA ALEMAN, ERICK Camargo ACUÑA, Genesis Yulie REDONDO BILBAO, OSMAN ENRIQUE Hernandez-P, Hugo León Castro, Bella Arrieta Meléndez, Pedro Neira Rodado, Dionicio |
| dc.contributor.author.spa.fl_str_mv |
silva d, jesus g GUERRA ALEMAN, ERICK Camargo ACUÑA, Genesis Yulie REDONDO BILBAO, OSMAN ENRIQUE Hernandez-P, Hugo León Castro, Bella Arrieta Meléndez, Pedro Neira Rodado, Dionicio |
| dc.subject.spa.fl_str_mv |
Artificial neural network Multilayer perceptron Domestic violence |
| topic |
Artificial neural network Multilayer perceptron Domestic violence |
| description |
This paper aims to determine the predictors of violence against women by their partners, according to the National Survey of Demography and Health - ENDS - Colombia, 2017 using artificial neural networks. The results indicate that the best forecasting model found is the artificial neural network, perceptron model, multilayer associative memory with a hidden layer of 20 units, through functions of sigmoidal activation and sum of square of the error as error function. The ten main explanatory variables are: respect for human rights of the partner, respect for wishes, love expressed by the partner, a history of domestic violence, engaging in joint decision making, decision of contraceptive use, number of connections (partners) of the respondent, decision-making at the financial level, correction of children behavior, and decisions regarding women's health at home. |
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2019 |
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2019-11-05T21:18:27Z |
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2019-11-05T21:18:27Z |
| dc.date.issued.none.fl_str_mv |
2019 |
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Pre-Publicación |
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http://purl.org/coar/resource_type/c_816b |
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https://hdl.handle.net/11323/5578 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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https://hdl.handle.net/11323/5578 https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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CC0 1.0 Universal |
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http://creativecommons.org/publicdomain/zero/1.0/ |
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Universidad de la Costa |
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Corporación Universidad de la Costa |
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silva d, jesus gGUERRA ALEMAN, ERICKCamargo ACUÑA, Genesis YulieREDONDO BILBAO, OSMAN ENRIQUEHernandez-P, HugoLeón Castro, BellaArrieta Meléndez, PedroNeira Rodado, Dionicio2019-11-05T21:18:27Z2019-11-05T21:18:27Z2019https://hdl.handle.net/11323/5578Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/This paper aims to determine the predictors of violence against women by their partners, according to the National Survey of Demography and Health - ENDS - Colombia, 2017 using artificial neural networks. The results indicate that the best forecasting model found is the artificial neural network, perceptron model, multilayer associative memory with a hidden layer of 20 units, through functions of sigmoidal activation and sum of square of the error as error function. The ten main explanatory variables are: respect for human rights of the partner, respect for wishes, love expressed by the partner, a history of domestic violence, engaging in joint decision making, decision of contraceptive use, number of connections (partners) of the respondent, decision-making at the financial level, correction of children behavior, and decisions regarding women's health at home.silva d, jesus g-will be generated-orcid-0000-0003-3555-9149-600GUERRA ALEMAN, ERICK-will be generated-orcid-0000-0002-3143-2581-600Camargo ACUÑA, Genesis Yulie-will be generated-orcid-0000-0003-0425-3083-600REDONDO BILBAO, OSMAN ENRIQUE-will be generated-orcid-0000-0002-5477-0655-600Hernandez-P, HugoLeón Castro, BellaArrieta Meléndez, PedroNeira Rodado, Dionicio-will be generated-orcid-0000-0003-0837-7083-600engUniversidad de la CostaCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Artificial neural networkMultilayer perceptronDomestic violenceUse of Artificial Neural Networks in Determining Domestic Violence PredictorsPre-Publicaciónhttp://purl.org/coar/resource_type/c_816bTextinfo:eu-repo/semantics/preprinthttp://purl.org/redcol/resource_type/ARTOTRinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALUse of Artificial Neural Networks in Determining Domestic Violence Predictors.pdfUse of Artificial Neural Networks in Determining Domestic Violence Predictors.pdfapplication/pdf73355https://repositorio.cuc.edu.co/bitstreams/690bbdbc-5c31-4e6e-9bfa-3b8415d89786/downloadf526d7dd6103278e077466cb4607a4beMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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