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The artificial neural network based subjective expectation evaluation method on software user interface is proposed. The analytic hierarchy process and radial basis functions neural network based subjective expectation evaluation models are established. The two kinds of models are used to evaluate the control system software user interface of power station. Evaluation results show that the radial basis function neural network based evaluation method can be used to evaluate the software user interface. Because the proposed method has the advantages of deciding the subjective expectation evaluation weights automatically, so it can observably enhance the objectivity of subjective expectation evaluation of software user interface.
Date of Conference: 5-8 Aug. 2007