Sistema experto vía web para el manejo de animales de abasto del colegio técnico agropecuario Eugenio Espejo del cantón Las Lajas provincia de El Oro.

The present project thesis is a requirement to finish the career (PFC) “EXPERT SYSTEM VIA WEB FOR THE MANAGEMENT OF SLAUGHTERED ANIMALS OF EUGENIO ESPEJO TECHNICAL AGRICULTURAL COLLEGE LOCATED IN LAS LAJAS CANTON, EL ORO PROVINCE”", (SECTAEE) . It is an expert system that is used as a support tool (veterinary a person with experience or user) in the breeding of animals for slaughter, in the fields of: Diet, prevention and cure of diseases to optimize resources and provide the best possible quality meat products. SECTAEE is based on rules and probabilities; it was used Bayesian networks allowing us to get closer results to reality in the field of cures for slaughtered animals. Java programming technology was used for the development of the application and at the same time it was used the frameworks faces as well as rich faces that helped with the code organization and with the web page viewing the . To save the Batos Mysql-Server 5.5.20 Base Manager was used which also applied the framework hibernate that helped the treatment of the base level classes. Moreover for the web design HTML It was used style sheets (CSS) and JavaScript. For diagrams it was managed Enterprise which helped in the creation of models of the system then to turn it into source code. It was used the container pages from java (JFS) Glassfish server for hosting of the system. The proves were made by explaining and filling the application and validation survey with students and teachers from the Eugenio Espejo technical college, where it was verified if it fills or fails the purpose to detect errors and possible failures of the system.

• Главный автор: Moreno Sánchez, Sandra Elizabeth (author)
• Формат: bachelorThesis
• Язык: spa
• Опубликовано: 2014
• Предметы: <SISTEMA EXPERTO> <MANEJO DE ANIMALES DE ABASTO> <REDES BAYESIANAS> <TÉCNICAS E INSTRUMENTOS> <MODELADO DE LA APLICACIÓN> <REGLAS DEL MOTOR DE INFERENCIA>
• Online-ссылка: http://dspace.unl.edu.ec/jspui/handle/123456789/14075