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Нейромережні методи розпізнавання вихідного сигналу багатопараметричних сенсорів
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UDC: 004.93
Publication Language: Russian
Stuc. intelekt. 2009; 14(1):125-129
Abstract: The application of artificial neural networks is described for improvement of recognition accuracy of multisensor signal. The errors of multi-sensor signal are modeled by the set of mathematical models which cover all possible combinations of conversion characteristic deviations. The recognition of output signal by single and modular neural network is researched by simulation modeling.
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