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1
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0026613598
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A new cross-correlation algorithm and the detection of rhodamine-B dye in sea water
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Danaher, S., O'Mongain, E. and Walsh, J.: A New Cross-correlation Algorithm and the Detection of Rhodamine-B Dye in Sea Water. International Journal of Remote Sensing 13 (1992), pp. 1743-1755.
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International Journal of Remote Sensing
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Danaher, S.1
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0027211515
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Application of neural networking models to predict energy use
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Anstett, M. and Kreider, J.F.: Application of Neural Networking Models to Predict Energy Use. ASHRAE Trans. 99 (1993), pp. 505-517.
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ASHRAE Trans.
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Anstett, M.1
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Parameter estimation in buildings: Methods for dynamic analysis of measured energy use
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Rabl, A.: Parameter Estimation in Buildings: Methods for Dynamic Analysis of Measured Energy Use. Journal of Solar Energy Eng. 110 (1988), pp. 53-66.
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Journal of Solar Energy Eng.
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Rabl, A.1
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4
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0034479275
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Low-order model for the simulation of a building and its heating system
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Gouda, M.M., Danaher, S. and Underwood, C.P.: Low-order Model for the Simulation of a Building and its Heating System. Building Services Engineering Research and Technology 21 (2000), pp. 203-212.
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Building Services Engineering Research and Technology
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Gouda, M.M.1
Danaher, S.2
Underwood, C.P.3
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5
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0028695863
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A first-order model for building design
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Mathews, E.H., Richards, G.P. and Lombard, C.: A First-order Model for Building Design, Energy & Building 21 (1994), pp. 133-145.
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Energy and Building
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Mathews, E.H.1
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0029356977
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Building energy use prediction and system identification using recurrent neural networks
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Kreider, J.F., Claridge, D.E., Curties, P., Dodier, R.J., Harberl, S. and Krati, M.: Building Energy Use Prediction and System Identification Using Recurrent Neural Networks. Journal of Solar Energy Eng. 117 (1995), pp. 161-166.
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Journal of Solar Energy Eng.
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Kreider, J.F.1
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Curties, P.3
Dodier, R.J.4
Harberl, S.5
Krati, M.6
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0003325985
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The first system identification competition
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Albuquerque, NM
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Bloem, H., deGraaf, M., Kreider, J.F. and Norlen, U.: The First System Identification Competition. Proceedings of the ASME ISEC, Albuquerque, NM, 1998.
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(1998)
Proceedings of the ASME ISEC
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Bloem, H.1
deGraaf, M.2
Kreider, J.F.3
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0026373647
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Approximation of functions on a compact set by finite sums of a sigmoid function with and without scaling
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Ito, Y.: Approximation of Functions on a Compact Set by Finite Sums of a Sigmoid Function With and Without Scaling. Neural Networks 4 (1984), pp. 817-826.
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Neural Networks
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Artificial neural networks demonstration for automated generation of energy use predictors for commercial buildings
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J.S. Habert, R.M. Nelson and C.C. Culp (eds.) ASHRAE, Atlanta, GA, USA
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Krieder, J.F. and Wang, X.A.: Artificial Neural Networks Demonstration for Automated Generation of Energy Use Predictors for Commercial Buildings. In: J.S. Habert, R.M. Nelson and C.C. Culp (eds.): The Use of Artificial Intelligence in Building Systems. ASHRAE, Atlanta, GA, USA, 1995, pp. 193-198.
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Krieder, J.F.1
Wang, X.A.2
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Energy management in central HVAC plants using neural networks
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J.S. Habert, R.M. Nelson and C.C. Culp (eds.) ASHRAE, Atlanta, GA, USA
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Curtiss, P.S., Brandemuehl, M.J. and Kreider, J.F.: Energy Management in Central HVAC Plants Using Neural Networks. In: J.S. Habert, R.M. Nelson and C.C. Culp (eds.): The Use of Artificial Intelligence in Building Systems. ASHRAE, Atlanta, GA, USA, 1995, pp. 199-216.
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Curtiss, P.S.1
Brandemuehl, M.J.2
Kreider, J.F.3
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Learning internal representations by error propagation
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chap. 8, MIT Press, Cambridge, MA
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Rumelhart, D.E., Hinton, G.E. and Williams, R.J.: Learning Internal Representations by Error Propagation. Parallel Distributed Processing Explorations in the Microstructure of Cognition, vol. 1, chap. 8, MIT Press, Cambridge, MA, 1986, pp. 169-194.
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Rumelhart, D.E.1
Hinton, G.E.2
Williams, R.J.3
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15
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0010019182
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Application of singular value decomposition (SVD) in high-energy gamma-ray astronomy
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Danaher, S., Fegan, D.J. and Hagan, J.: Application of Singular Value Decomposition (SVD) in High-energy Gamma-ray Astronomy. Astroparticle Physics 1 (1993), pp. 357-368.
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(1993)
Astroparticle Physics 1
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Danaher, S.1
Fegan, D.J.2
Hagan, J.3
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17
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84868710792
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Classification of forestry species using singular value decomposition
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Danaher, S., Herries, G., MacSiurtain, M. and O'Mongain, E.: Classification of Forestry Species Using Singular Value Decomposition. Satellite Remote Sensing I, SPIE, 2314-56, (15) (1994), pp. 270-280.
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Satellite Remote Sensing I, SPIE
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Danaher, S.1
Herries, G.2
MacSiurtain, M.3
O'Mongain, E.4
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84876619972
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Unpublished-Internal Project Report, Faculty of Information and Engineering Systems 34/93, Leeds Metropolitan University
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Herries, G.: Characterisation of Forestry Species Using Satellite Images. Unpublished-Internal Project Report, Faculty of Information and Engineering Systems 34/93, Leeds Metropolitan University.
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Characterisation of Forestry Species Using Satellite Images
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Herries, G.1
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0141700326
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Technical report CUED/FINFENG/TR 144 Cambridge University, Engineering Department, Cambridge
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Jervis, T.T. and Fitzgerald, W.J.: Optimisation Scheme for Neural Networks. Technical report CUED/ FINFENG/TR 144. Cambridge University, Engineering Department, Cambridge, 1993.
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Optimisation Scheme for Neural Networks
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Jervis, T.T.1
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