LEARNING IDENTIFICATION DYNAMIC ALGORITHMS FOR MODELLING OF DISSOLVED OXYGEN INCORPORATING INTERACTING PARAMETERS.

被引：0
|
作者：
Gupta, S.K.Sen
Maulik, M.N.
Chaudhuri, A.S.
机构：
来源：
Journal of the Institution of Engineers (India): Environmental Engineering Division | 1984年 / 64卷
关键词：
DATA PROCESSING - Data Handling - MATHEMATICAL TECHNIQUES - Least Squares Approximations - RIVERS;
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摘要：
The multilayer group method of data-handling algorithm and the dynamic recursive least square technique of applied cybernetics have been used for obtaining dynamic descriptions of the dissolved oxygen (DO) level of a non-tidal river flowing through a highly industrialized region. When tested with field data, the models are found to simulate adequately the major variations of the DO levels observed in the field measurements.
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页码：86 / 89
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