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Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia
นักวิจัย : Guo, Wanwu. , Li, Lily Dujuan. , Whymark, Greg.
คำค้น : Wheat , Agricultural productivity , Applied research. , 890205 Information Processing Services (incl. Data Entry and Capture) , 080105 Expert Systems. , 080108 Neural, Evolutionary and Fuzzy Computation. , 070103 Agricultural Production Systems Simulation. , Neural networks (Computer science) , Expert systems (Computer science) , Neural networks -- Multilayer perceptron -- Correlation analysis -- Wheat production -- Wheat plantation area -- Queensland
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2552
อ้างอิง : http://hdl.cqu.edu.au/10018/40619 , http://dx.doi.org/10.1109/ICIT.2009.4939535 , cqu:5171
ที่มา : Guo, WW, Li, LD & Whymark, G 2009, 'Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia', paper presented to the 2009 International Conference on Industrial Technology, Gippsland, Victoria, 10th-13th February 2009, pp.1366-1369.http://dx.doi.org/10.1109/ICIT.2009.4939535 (viewed 12/2/10)
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Proceedings of the 2009 IEEE International Conference on Industrial Technology (ICIT'09), 10-13 February, 2009, Monash University, Gippsland, Victoria, Australia. USA. : IEEE, 2009. p. 1366-1369 4 pages Refereed 9781424435074 1424435064 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

An accurate prediction of wheat production in advance would give wheat growers, traders, and governmental agencies a great advantage in planning the distribution of wheat production for business and consuming purposes. Traditional approach in dealing with such prediction is based on time series analysis through statistical or other intelligent means. These time-series centric methods treat the historical data as sequences of continuous events, and assume that the most recent sequence is more important than the older ones in forecasting. However, such analysis concerns little about the factors that cause the appearances of the events. In wheat production prediction, factors, such as the total plantation area, variations in rainfall and temperature, and levels of fertilization and disease occurrence, all make contributions to the harvest. In this paper, treating the historical wheat data in Queensland over 130 years as non-temporal collection of mappings between wheat plantation area and production, we use correlation analysis and neural network techniques to reveal whether significant nonlinear relations exist between these two factors. If such nonlinear relations exist, comparisons are then made to identify the best possible solution that can be used for predicting wheat production with respect to the plantation area. Our investigation indicates that similar study has not been published yet. Our analysis demonstrates that a power correlation, a third-order polynomial correlation, and a three layer multilayer perceptron model are all of significance, but it is the multilayer perceptron model that is capable of producing accurate prediction.

บรรณานุกรม :
Guo, Wanwu. , Li, Lily Dujuan. , Whymark, Greg. . (2552). Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Guo, Wanwu. , Li, Lily Dujuan. , Whymark, Greg. . 2552. "Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Guo, Wanwu. , Li, Lily Dujuan. , Whymark, Greg. . "Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2552. Print.
Guo, Wanwu. , Li, Lily Dujuan. , Whymark, Greg. . Statistics and neural networks for approaching nonlinear relations between wheat plantation and production in Queensland of Australia. กรุงเทพมหานคร : Central Queensland University, Australia; 2552.