A neural network ensemble models for pig size prediction
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Creator 1. Arthit Apichottanakul
2. Supachai Pathumnakul
Title A neural network ensemble models for pig size prediction
Publisher Faculty of Engineering, Khon Kaen Univeristy
Publication Year 2556
Journal Title KKU Engineering Journal
Journal Vol. 40
Journal No. 4
Page no. 569-578
Keyword Production forecasting,Neural network ensemble, Pig procurement plan,Pork processing industry
ISSN 0125-8273
Abstract The paper presents a neural network ensemble models for pig size prediction in swine fattening farm. This approach has been developed based on three methods: Multilayer perceptron with back-propagation neural network, Radial basis function and Generalize regression neural network. The solutions from three methods, then are combined using the Simple averaging, Weighted averaging and Median approaches. The results show that the developed model provide reasonable prediction solutions with the root-mean square error (RMSE) lower than 9.0 for all sizes of pigs
KKU Engineering Journal

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