کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10679851 | 1013168 | 2005 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Neural Network Modelling and Sensitivity Analysis of a Mechanical Poultry Catching System
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موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
کنترل و سیستم های مهندسی
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چکیده انگلیسی
Mechanical poultry catching equipment has been under development for a number of years. Producers on the Delmarva Peninsula have begun to move towards mechanical catching equipment. For this study, the Anglia Autoflow mechanical catching system was observed on 11 occasions from January 2002 to July 2002. The data collected were used to create a predictive time artificial neural network (ANN) of the catching process. In the study, an ANN model with a network with seven input nodes, one hidden layer of four nodes and one output node was used. The model was used to determine the sensitivity of the process to changes in the system. The system was most sensitive to changes in house configuration and least sensitive to changes in the mechanical catching system operating characteristics.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems Engineering - Volume 92, Issue 1, September 2005, Pages 59-68
Journal: Biosystems Engineering - Volume 92, Issue 1, September 2005, Pages 59-68
نویسندگان
S. Jaiswal, E.R. Benson, J.C. Bernard, G.L. Van Wicklen,