Bayesian neural network learning for prediction in the Australian dairy industry
(1999) Bayesian neural network learning for prediction in the Australian dairy industry. In Hand, D.J. and Kok, J.N. and Berthold, M.R., Eds. Proceedings Third International Symposium on Intelligent Data Analysis (IDA'99) Lecture Notes in Computer Science, LNCS 1642/1999, pages pp. 395-406, Netherlands.
Full text available as: |
Abstract
One of the most common problems encountered in agriculture is that of predicting a response variable from covariates of interest. The aim of this paper is to use a Bayesian neural network approach to predict dairy daughter milk production from dairy dam, sire, herd and environmental factors. The results of the Bayesian neural network are compared with results obtained when the regression relationship is described using the traditional neural network approach. In addition, the "baseline" results of a multiple linear regression employing both frequentist and Baysian methods are presented. The potential advantages of the Bayesian neural network appraoch over the traditional neural network approach are discussed.
| Item Type: | Conference Paper |
|---|---|
| Status: | Published |
| Keywords: | Bayesian neural network, milk production |
| Subjects: | 280000 Information, Computing and Communication Sciences > 280200 Artificial Intelligence and Signal and Image Processing > 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic 300000 Agricultural, Veterinary and Environmental Sciences > 300400 Animal Production > 300401 Animal Breeding |
| ID Code: | 7607 |
| Deposited By: | Towsey, Michael W. |
| Deposited On: | 15 May 2007 |
| Alternative Locations: | http://dx.doi.org/10.1007/3-540-48412-4_33 |
| Copyright Owner: | Copyright 1999 Springer |
| Additional Information: | For more information, please refer to the publisher's website (see hypertext link) or contact the author. |