A NEURAL-NETWORK APPROACH TO GEOSTATISTICAL SIMULATION

被引：24

作者：

DOWD, PA

SARAC, C

机构：

[1] Department of Mining and Mineral Engineering, University of Leeds, Leeds

来源：

MATHEMATICAL GEOLOGY | 1994年 / 26卷 / 04期

关键词：

CONDITIONAL SIMULATION; GEOSTATISTICS; NEURAL NETWORK;

D O I：

10.1007/BF02083491

中图分类号：

P [天文学、地球科学];

学科分类号：

07 ;

摘要：

Neural networks offer a non-algorithmic approach to geostatistical simulation with the possibility of automatic recognition of correlation structure. The paper gives a brief overview of neural networks and describes a feedforward, back-propagation network for geostatistical simulation. The operation of the network is illustrated with two simple one-dimensional examples which can be followed through with hand calculations to give an insight into the operation of the network. The convergence of the network is described in terms of the variogram calculated from the values at each of the output nodes at each iteration.

引用

页码：491 / 503

页数：13

共 23 条

[11] NEURAL NETWORKS AND PHYSICAL SYSTEMS WITH EMERGENT COLLECTIVE COMPUTATIONAL ABILITIES [J].

HOPFIELD, JJ .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1982, 79 (08) :2554-2558

[12] SELF-ORGANIZED FORMATION OF TOPOLOGICALLY CORRECT FEATURE MAPS [J].

KOHONEN, T .

BIOLOGICAL CYBERNETICS, 1982, 43 (01) :59-69

[13]

Kohonen T., 1978, ASS MEMORY SYSTEM TH

[14] BIDIRECTIONAL ASSOCIATIVE MEMORIES [J].

KOSKO, B .

IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1988, 18 (01) :49-60

[15]

McCulloch W.S., 1943, B MATH BIOPHYS, V5, P115, DOI DOI 10.1007/BF02478259

[16]

Muller B, 1991, NEURAL NETWORKS INTR

[17]

Rumelhart David E., 1987, LEARNING INTERNAL RE, P318

[18] LEARNING REPRESENTATIONS BY BACK-PROPAGATING ERRORS [J].

RUMELHART, DE ;

HINTON, GE ;

WILLIAMS, RJ .

NATURE, 1986, 323 (6088) :533-536

[19]

SZU H, 1987, SPIE, V968, P59

[20]

SZU H, 1987, NEURAL NETWORKS COMP, V15, P420

← 1 2 3 →