Artificial neural networks (the multilayer perceptron) - A review of applications in the atmospheric sciences

被引：2231

作者：

Gardner, MW ^{[1
]}

Dorling, SR ^{[1
]}

机构：

[1] Univ E Anglia, Sch Environm Sci, Norwich NR4 7TJ, Norfolk, England

来源：

ATMOSPHERIC ENVIRONMENT | 1998年 / 32卷 / 14-15期

关键词：

statistical modelling; neural network; backpropagation; artificial intelligence;

D O I：

10.1016/S1352-2310(97)00447-0

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Artificial neural networks are appearing as useful alternatives to traditional statistical modelling techniques in many scientific disciplines. This paper presents a general introduction and discussion of recent applications of the multilayer perceptron, one type of artificial neural network, in the atmospheric sciences. (C) 1998 Elsevier Science Ltd. All rights reserved.

引用

页码：2627 / 2636

页数：10

共 61 条

[1]

[Anonymous], 1961, Adaptive Control Processes: a Guided Tour, DOI DOI 10.1515/9781400874668

[2] WIND AMBIGUITY REMOVAL BY THE USE OF NEURAL NETWORK TECHNIQUES [J].

BADRAN, F ;

THIRIA, S ;

CREPON, M .

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 1991, 96 (C11) :20521-20529

[3]

BANKERT RL, 1994, J APPL METEOROL, V33, P909, DOI 10.1175/1520-0450(1994)033<0909:CCOAII>2.0.CO

[4]

[5] 1ST-ORDER AND 2ND-ORDER METHODS FOR LEARNING - BETWEEN STEEPEST DESCENT AND NEWTON METHOD [J].

BATTITI, R .

NEURAL COMPUTATION, 1992, 4 (02) :141-166

[6] NEURAL NETWORK APPROACHES VERSUS STATISTICAL-METHODS IN CLASSIFICATION OF MULTISOURCE REMOTE-SENSING DATA [J].

BENEDIKTSSON, JA ;

SWAIN, PH ;

ERSOY, OK .

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1990, 28 (04) :540-552

[7] Results from the UN/ECE ICP-crops indicate the extent of exceedance of the critical levels of ozone in Europe [J].

Benton, J ;

Fuhrer, J ;

Skarby, L ;

Sanders, G .

WATER AIR AND SOIL POLLUTION, 1995, 85 (03) :1473-1478

[8]

Bishop C. M., 1995, NEURAL NETWORKS PATT

[9] A NEURAL-NETWORK-BASED METHOD FOR SHORT-TERM PREDICTIONS OF AMBIENT SO2 CONCENTRATIONS IN HIGHLY POLLUTED INDUSTRIAL-AREAS OF COMPLEX TERRAIN [J].

BOZNAR, M ;

LESJAK, M ;

MLAKAR, P .

ATMOSPHERIC ENVIRONMENT PART B-URBAN ATMOSPHERE, 1993, 27 (02) :221-230

[10] Retrieving atmospheric temperature parameters from DMSP SSM/T-1 data with a neural network [J].

Butler, CT ;

Meredith, RV ;

Stogryn, AP .

JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1996, 101 (D3) :7075-7083

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