The Application of Genetic Programming in Milk Yield Prediction for Dairy Cows

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Chiu:2001:AGP,

• author = "Chaochang Chiu and Jih-Tay Hsu and Chih-Yung Lin",
• title = "The Application of Genetic Programming in Milk Yield Prediction for Dairy Cows",
• booktitle = "Rough Sets and Current Trends in Computing : Second International Conference, RSCTC 2000. Revised Papers",
• editor = "W. Ziarko and Y. Yao",
• volume = "2005",
• pages = "598--602",
• series = "Lecture Notes in Computer Science",
• address = "Banff, Canada",
• publisher_address = "Heidelberg",
• month = oct # " 16-19",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, dynamic mutation, milk yield prediction",
• year = "2001",
• CODEN = "LNCSD9",
• ISSN = "0302-9743",
• bibdate = "Sat Feb 2 13:03:23 MST 2002",
• DOI = "doi:10.1007/3-540-45554-X_75",
• acknowledgement = ack-nhfb,
• abstract = "Milk yield forecasting can help dairy farmers to deal with the continuously changing condition all year round and to reduce the unnecessary overheads. Several variables (somatic cell count, pariety, day in milk, milk protein content, milk fat content, season) related to milk yield are collected as the parameters of the forecasting model. The use of an improved Genetic Programming (GP) technique with dynamic learning operators is proposed and achieved with acceptable prediction results.",

}

Genetic Programming entries for Chaochang Chiu Jih-Tay Hsu Chih-Yung Lin

Citations