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| 02398cam 2200385zi 4500 |
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| 001 | 9.877312 |
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| 003 | CaOODSP |
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| 005 | 20221107164937 |
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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 |aEn13-5/93-151E-PDF |
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| 100 | 1 |aLam, D. C. L. |q(David Chung Lap)|eauthor. |
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| 245 | 12|aA hybrid expert system and neural network approach to data models : |ban example of environmental application / |cD.C.L. Lam, I. Wong, D.A. Swayne and P. Fong. |
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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 (3 unnumbered pages, 7 pages) : |billustrations. |
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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. 93-151 |
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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 | |a"This paper describes a new approach for developing a decision support system for aquatic environmental applications by using a hybrid combination of expert system and neural network techniques. Expert systems are based on available knowledge usually represented by a rule base. A neural network can be used, under supervised machine learning, to search for more knowledge, particularly to identify new temporal and spatial patterns hitherto not formally found in rule sets. A hybrid system, therefore, can utilize the best of these two methods. By demonstrating with two examples on identifying temporal and spatial data gaps, the importance of screening out irrelevant data is emphasized for building such a hybrid system"--Executive summary. |
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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 |aWong, Isaac Wai Soon, |d1957- |eauthor. |
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| 700 | 1 |aSwayne, David A., |eauthor. |
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| 700 | 1 |aFong, P., |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. 93-151.|w(CaOODSP)9.844121 |
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| 856 | 40|qPDF|s1.18 MB|uhttps://publications.gc.ca/collections/collection_2019/eccc/en13-5/En13-5-93-151-eng.pdf |
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