Artificial neural networks (the multilayer perceptron)—a review of applications in the atmospheric sciences

Badran, 1991, Wind ambiguity removal by the use of neural network techniques, Journal of Geophysical Research, 96, 20521, 10.1029/91JC02216

Bankert, 1994, Cloud classification of AVHRR imagery in maritime regions using a probabilistic neural network, Journal of Applied Meteorology, 33, 909, 10.1175/1520-0450(1994)033<0909:CCOAII>2.0.CO;2

Battiti, 1992, First- and second-order methods for learning, Neural Computation, 4, 141, 10.1162/neco.1992.4.2.141

Bellman, 1961

Benediktsson, 1990, Neural network approaches versus statistical methods in classification of multisource remote sensing data, IEEE Transactions on Geoscience and Remote Sensing, 28, 540, 10.1109/TGRS.1990.572944

Benton, 1995, Results from the UN/ECE ICP-crops indicate the extent of exceedance of the critical levels of ozone in Europe, Water, Air and Soil Pollution, 85, 1473, 10.1007/BF00477189

Bishop, 1995

Boznar, 1993, A neural network-based method for the short-term predictions of ambient SO2 concentrations in highly polluted industrial areas of complex terrain, Atmospheric Environment, B 27, 221

Breiman, 1984

Butler, 1996, Retrieving atmospheric temperature parameters from DMSP SSM/T-1 data with a neural network, Journal of Geophysical Research, 101, 7075, 10.1029/95JD03577

Cawley, 1996, Reproducing a subjective classification scheme for atmospheric circulation patterns over the United Kingdom using a neural network

Chen, 1995, Land-cover classification of multispectral imagery using a dynamic learning neural network, Photogrammetric Engineering and Remote Sensing, 61, 403

Churnside, 1994, Temperature profiling with neural network inversion of microwave radiometer data, Journal of Atmospheric and Oceanic Technology, 11, 105, 10.1175/1520-0426(1994)011<0105:TPWNNI>2.0.CO;2

Clothiaux, 1994, A first-guess feature-based algorithm for estimating wind speed in clear-air doppler radar spectra, Journal of Atmospheric and Oceanic Technology, 11, 888, 10.1175/1520-0426(1994)011<0888:AFGFBA>2.0.CO;2

Comrie, 1997, Comparing neural networks and regression models for ozone forecasting, Journal of Air and Waste Management, 47, 653, 10.1080/10473289.1997.10463925

Elizondo, 1994, Development of a neural network model to predict daily solar radiation, Agricultural and Forest Meteorology, 7, 115, 10.1016/0168-1923(94)90103-1

Foody, 1995, Land cover classification by an artificial neural network with ancillary information, International Journal of Geographical Information Systems, 9, 527, 10.1080/02693799508902054

Foody, 1996, Approaches for the production and evaluation of fuzzy land cover classifications from remotely sensed data, International Journal of Remote Sensing, 17, 1317, 10.1080/01431169608948706

Foody, 1995, Classification of remotely sensed data by an artificial neural network, Photogrammetric Engineering and Remote Sensing, 61, 391

Gardner, 1996, Neural network modelling of the influence of local meteorology on surface ozone concentrations, 359

Garson, 1991, Interpreting neural network connection weights, Artificial Intelligence Expert, April, 47

Gibb, 1996

Hagelberg, 1995, Thin-line detection in meteorological radar images using wavelet transforms, Journal of Atmospheric and Oceanic Technology, 12, 633, 10.1175/1520-0426(1995)012<0633:TLDIMR>2.0.CO;2

Hastenrath, 1993, Further work on the prediction of Northeast Brazilian rainfall anomalies, Journal of Climate, 6, 743, 10.1175/1520-0442(1993)006<0743:FWOTPO>2.0.CO;2

Hepner, 1990, Artificial neural network classification using a minimal training set, Photogrammetric Engineering and Remote Sensing, 56, 469

Hornik, 1989, Multilayer feedforward networks are universal approximators, Neural Networks, 2, 359, 10.1016/0893-6080(89)90020-8

Jain, 1996, Artificial neural networks – a tutorial, Computer, March, 31, 10.1109/2.485891

Krasnopolsky, 1995, A neural network as a non-linear transfer function model for retrieving wind speeds from the special sensor microwave imager, Journal of Geophysical Research, 100, 11033, 10.1029/95JC00857

Lawrence, 1991, Data preparation for a neural network, Artificial Intelligence Expert, November, 34

Le Cun, 1993, Automatic learning rate maximisation by online estimation of the Hessian’s eigenvectors, 5, 156

Lister, R., Bakker, P. and Wiles, J. (1993) Error signals, exceptions, and back propagation. Proceedings of 1993 International Conference on Neural Networks 573–576.

McCann, 1992, A neural network short-term forecast of significant thunderstorms, Forecasting Techniques, 7, 525, 10.1175/1520-0434(1992)007<0525:ANNSTF>2.0.CO;2

Macpherson, 1995, Prediction of solar and geomagnetic-activity data using neural networks, Journal of Geophysical ResearchSpace Physics, 100, 21735, 10.1029/95JA02283

Marzban, 1996, A neural network for tornado prediction based on doppler radar derived attributes, Journal of Applied Meteorology, 35, 617, 10.1175/1520-0450(1996)035<0617:ANNFTP>2.0.CO;2

Miniere, 1996, A neural network approach to the classification of electron and proton whistlers, Journal of Atmospheric and Terrestrial Physics, 58, 911, 10.1016/0021-9169(95)00077-1

Moseholm, 1996, Forecasting carbon monoxide concentrations near a sheltered intersection using video traffic surveillance and neural networks, Transportation Research, 1D, 15

Navone, 1994, Predicting Indian monsoon rainfall, Climate Dynamics, 10, 305, 10.1007/BF00228029

Peak, 1992, Towards automated interpretation of satellite imagery for navy shipboard applications, Bulletin of the American Meteorological Society, 73, 955, 10.1175/1520-0477(1992)073<0995:TAIOSI>2.0.CO;2

Reed, 1993, Pruning algorithms—a survey, IEEE Transactions on Neural Networks, 4, 740, 10.1109/72.248452

Rege, 1996, A simple neural network for estimating emission rates of hydrogen sulfide and ammonia from single point sources, Journal of Air and Waste Management Association, 46, 953, 10.1080/10473289.1996.10467530

Robinson, 1991, Neural networks offer an alternative to traditional regression, Geobyte, February, 14

Rumelhart, 1986, Learning internal representations by error propagation, 1

Sarle, W. (1997) comp.ai.neural-nets Frequently Asked Questions, ftp://ftp.sas.com/pub/neural/FAQ.html.

Schalkoff, 1992

Setiono, 1996, Improving backpropagation learning with feature selection, Applied Intelligence, 6, 129, 10.1007/BF00117813

Simons, 1984

Stogryn, 1994, Ocean surface wind retrievals from special sensor microwave imager data with neural networks, Journal of Geophysical Research, 99, 981, 10.1029/93JC03042

Stone, 1974, Cross-validatory choice and assessment of statistical prediction, Journal of the Royal Statistical Society, B36, 111

Thiria, 1993, A neural network approach for modelling non-linear transfer functions, Journal of Geophysical Research, 98, 22827, 10.1029/93JC01815

Tovinkere, 1993, An intercomparison of artificial intelligence approaches for polar scene identification, Journal of Geophysical Research, 98, 5001, 10.1029/92JD02599

Verdecchia, 1996, A neural network approach for blocking recognition, Geophysical Research Letters, 23, 2081, 10.1029/96GL01810

Welch, 1992, Polar cloud classification using AVHRR imagery - an intercomparison of methods, Journal of Applied Meteorology, 31, 405, 10.1175/1520-0450(1992)031<0405:PCASCU>2.0.CO;2

Yi, 1996, A neural network model forecasting for prediction of daily maximum ozone concentration in an industrialised urban area, Environmental Pollution, 92, 349, 10.1016/0269-7491(95)00078-X