| 000 | 00000nam 2200000zi 4500 |
| 001 | 9.877315 |
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| 003 | CaOODSP |
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| 005 | 20241203113651 |
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| 006 | m o d f |
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| 007 | cr bn||||||||| |
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| 008 | 190801s1993 onca ob f000 0 eng d |
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| 040 | |aCaOODSP|beng|erda|cCaOODSP |
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| 086 | 1 |aEn13-5/93-153E-PDF |
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| 100 | 1 |aWong, Isaac Wai Soon, |d1957- |eauthor. |
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| 245 | 12|aA neural network approach to predict missing environmental data / |cI.W. Wong, D.C.L. Lam, A. Storey, P. Fong & D.A. Swayne. |
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| 264 | 1|aBurlington, Ontario : |bNational Water Research Institute = Institut national de recherche sur les eaux, |c[1993] |
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| 300 | |a1 online resource (10 unnumbered pages) : |billustration. |
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| 336 | |atext|btxt|2rdacontent |
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| 337 | |acomputer|bc|2rdamedia |
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| 338 | |aonline resource|bcr|2rdacarrier |
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| 490 | 1 |aNWRI contribution ; |vno. 93-153 |
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| 500 | |aDigitized edition from print [produced by Environment and Climate Change Canada]. |
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| 504 | |aIncludes bibliographical references. |
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| 520 | 3 |a"We discuss some preliminary results of a neural network approach to predict missing environmental data. One of the main problems in environmental modelling and expert system application is the lack of useful data. The neural network approach will no doubt provide more useful data. It is found that the neural network, when used with proper pre-screening processes, produces satisfactory results. The preprocessing techniques used here are the cluster analysis to filter noisy data and the transformation to align the data in the appropriate range. Design procedures for this application are given and its performance is discussed by means of a sensitivity analysis"--Abstract. |
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| 692 | 07|2gccst|aEnvironmental sciences |
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| 692 | 07|2gccst|aInformation systems |
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| 692 | 07|2gccst|aIntelligent systems |
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| 700 | 1 |aLam, D. C. L. |q(David Chung Lap)|eauthor. |
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| 700 | 1 |aStorey, A., |eauthor. |
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| 700 | 1 |aFong, P., |eauthor. |
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| 700 | 1 |aSwayne, David A., |eauthor. |
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| 710 | 1 |aCanada. |bEnvironment Canada. |
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| 710 | 2 |aNational Water Research Institute (Canada) |
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| 830 | #0|aNWRI contribution ;|vno. 93-153.|w(CaOODSP)9.844121 |
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| 856 | 40|qPDF|s1.17 MB|uhttps://publications.gc.ca/collections/collection_2019/eccc/en13-5/En13-5-93-153-eng.pdf |
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