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AbstractAbstract
[en] The feasibility of using neural networks to characterize one or more variables as a function of other than related variables has been studied. Neural network or parallel distributed processing is found to be highly suitable for the development of relationships among various parameters. A sensor failure detection is studied, and it is shown that neural network models can be used to estimate the sensor readings during the absence of a sensor. (author). 4 refs.; 3 figs
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Aug 1991; 8 p; Available from the library of the Netherlands Energy Research Foundation ECN, P.O.Box 1, 1755 ZG Petten (NL)
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