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Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks

หน่วยงาน Central Queensland University, Australia

รายละเอียด

ชื่อเรื่อง : Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks
นักวิจัย : Guo, Wanwu. , Li, Michael M. , Whymark, Greg. , Li, Zheng-Xiang.
คำค้น : Rocks , Applied research. , 840104 Iron Ore Exploration. , 091307 Numerical Modelling and Mechanical Characterisation. , Neural networks (Computer science) , Neural networks -- Nonlinear function approximation -- Rock magnetism -- Magnetic susceptibility -- Magnetic contents
หน่วยงาน : Central Queensland University, Australia
ผู้ร่วมงาน : -
ปีพิมพ์ : 2553
อ้างอิง : http://hdl.cqu.edu.au/10018/55692
ที่มา : Guo, W, Li, M, Li, Z & Whymark, G 2010, 'Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks', Tsinghua Science and Technology, vol. 15, no. 3, pp. 281-287.
ความเชี่ยวชาญ : -
ความสัมพันธ์ : Tsinghua science and technology. Amsterdam, Netherlands : Elsevier, 2010. Vol. 15, no. 3 (June 2010), p. 281-287 7 pages Refereed 1007-0214 , ACQUIRE [electronic resource] : Central Queensland University Institutional Repository.
ขอบเขตของเนื้อหา : -
บทคัดย่อ/คำอธิบาย :

Correlations between magnetic susceptibility and contents of magnetic minerals in rocks are important in interpreting magnetic anomalies in geophysical exploration and understanding magnetic behaviors of rocks in rock magnetism studies. Previous studies were focused on describing such correlations using a sole expression or a set of expressions through statistical analysis. In this paper, we use neural network techniques to approximate the nonlinear relations between susceptibility and magnetite and/or hematite contents in rocks. This is the first time that neural networks are used for such study in rock magnetism and magnetic petrophysics. Three multilayer perceptrons are trained for producing the best possible estimationon susceptibility based on magnetic contents. These trained models are capable of producing accurate mappings between susceptibility and magnetite and/or hematite contents in rocks. This approach opens a new way of quantitative simulation using neural networks in rock magnetism and petrophysical research and applications.

บรรณานุกรม :
Guo, Wanwu. , Li, Michael M. , Whymark, Greg. , Li, Zheng-Xiang. . (2553). Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks.
    กรุงเทพมหานคร : Central Queensland University, Australia.
Guo, Wanwu. , Li, Michael M. , Whymark, Greg. , Li, Zheng-Xiang. . 2553. "Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks".
    กรุงเทพมหานคร : Central Queensland University, Australia.
Guo, Wanwu. , Li, Michael M. , Whymark, Greg. , Li, Zheng-Xiang. . "Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks."
    กรุงเทพมหานคร : Central Queensland University, Australia, 2553. Print.
Guo, Wanwu. , Li, Michael M. , Whymark, Greg. , Li, Zheng-Xiang. . Approximating nonlinear relations between susceptibility and magnetic contents in rocks using neural networks. กรุงเทพมหานคร : Central Queensland University, Australia; 2553.