Multilayer perceptron with local constraint as an emerging method in spatial data analysis

Nuclear Instruments and Methods in Physics Research, Section A: Accelerators, Spectrometers, Detectors and Associated Equipment

Volumn 389, Issue 1-2, 1997, Pages 226-229

  De Bollivier, M ^a   Dubois, G ^a   Maignan, M ^c   Kanevsky, M ^b  

^a JOINT RESEARCH CENTRE   (Italy)

^b NUCLEAR SAFETY INSTITUTE   (Russian Federation)

^c NONE

Author keywords

[No Author keywords available]

Indexed keywords

CESIUM; CONTAMINATION; DATA REDUCTION; DATA STRUCTURES; ESTIMATION; INTERPOLATION; ISOTOPES;

GEOSTATISTICS; INVERSE DISTANCE WEIGHTED METHOD; ORDINARY KRINGING METHOD;

NEURAL NETWORKS;

EID: 0039377393     PISSN: 01689002     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0168-9002(97)00132-0     Document Type: Article

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3. E.H. Isaaks and R. Mohan Srivastava, An Introduction to Applied Geostatistics (Oxford University Press, 1989).
4. D Weber and E. Englund, Math. Geol. 24(4) (1992) 381.
5. G. Cybenko, Maths. Cont. Sys. Sig. 2 (1989) 303.
6. G. Cybenko, Technical Report, Dept. of Computer Science, Tufts University (1988).
7. B. Ripley, Pattern Recognition and Neural Networks (Oxford University Press, 1996).
8. L. Bottou and V. Vapnik, Neural Comput. 4(6) (1992) 888.