Visualization of volcanic rock geochemical data and classification with artificial neural networks

Mathematical Geology

Volumn 38, Issue 6, 2006, Pages 697-710

  Lacassie, Juan Pablo ^a,b   Solar, Javier Ruiz ^c   Roser, Barry ^d   Hervé, Francisco ^c  

^a UNIVERSITY OF JOHANNESBURG   (South Africa)

^b SERVICIO NACIONAL DE GEOLOGÍA Y MINERÍA   (Chile)

^c UNIVERSITY OF CHILE   (Chile)

^d SHIMANE UNIVERSITY   (Japan)

Author keywords

Classification; Geochemistry; Neural networks; Visual analysis; Volcanic rocks

Indexed keywords

GEOCHEMISTRY; NEURAL NETWORKS; NUMERICAL METHODS; PETROLOGY; VOLCANIC ROCKS;

ANALYTICAL METHOD; ANDESITE; ARTIFICIAL NEURAL NETWORK; BASALT; CHEMICAL COMPOSITION; DACITE; DATA SET; IGNEOUS GEOCHEMISTRY; ISLAND ARC; RHYOLITE; TESTING METHOD;

EID: 33947584840     PISSN: 08828121     EISSN: 15738868     Source Type: Journal    
DOI: 10.1007/s11004-006-9042-z     Document Type: Article

References (10)

1. Cole, J. W., 1979, Chemical analyses of lavas and ignimbrites of the Taupo Volcanic Zone: Victoria University of Wellington, Geol. Dep., Publ. no. 13, 31 p.
2. Cole, J. W., Gill, J. B., and Woodhall, B., 1985, Petrologic history of the Lau Ridge, Fiji, in Scholl, D.W., and Vallier, T. L., eds., Geology and Offshore resources of Pacific Island Arcs-Tonga Region. Circ.-Pac. Counc: Energy Miner. Resour., Earth Sci. Ser., Houston, Texas, Energy Miner. Resour., v. 2, p. 373-414.
3. Cox, K. G., Bell, J. D., and Pankhurst, R. J., 1979, The interpretation of igneous rocks: George Allen and Unwin, London, 450 p.
4. Fritzke, B., 1994, Growing cell structures - A self-organizing network for unsupervised and supervised learning: Neural Netw., v. 7, no. 9, p. 1441-1460.
5. Kohonen, T., 1995, Self-organising maps, in Huang, T., and Schroeder, M., eds., Springer Series in Information Sciences, v. 30: Springer-Verlag, Berlin, Germany, 362 p.
6. Lacassie, J. P., Ruiz-del-Solar, J., Roser, B. P., Belousova, E., Ortiz, E., Hervé, F., 2003, Discovering geochemical patterns using Self-organizing neural networks: A new perspective for analysis in the Earth Sciences: Workshop on Self-Organizing Maps, Congress Proceedings: Hibikino, p. 191-196.
7. Lacassie, J. P., Roser, B. P., Ruiz-del-Solar, J., Hervé, F., 2004, Visualization of geochemical datasets by using neural networks: A novel perspective for sedimentary provenance analysis: Sedimentary Geol., v. 165, no.1, p. 175-191.
8. Rollinson, H., 1993, Using geochemical data: Evaluation, presentation, interpretation: Longman, Harlow, 352 p.
9. Vesanto, J., Alhoniemi, E., Himberg, J., Kiviluoto, K., and Parviainen, J., 1999, Self-organizing map for data mining in MATLAB: The SOM toolbox: Simul. News Eur., v. 25, no. 54, ARGE Simulation News, Vienna.
10. Walker, A. J., Cross, S. S., and Harrison, R. F., 1999, Visualisation of biomedical datasets using growing cell structure networks: A novel diagnostic classification technique: Lancet, v. 354, p. 1518-1521.