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| Research on Quality Evaluation of the Requirement Scheme for Equipment System |
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Abstract Aiming at the random and fuzziness in the evaluation process for equipment system, the evaluation model based on the GA (Genetic Algorithm, GA) and FNN (Fuzzy Neural Network, FNN) method is constructed. Considering the improvement of comprehensiveness and feasibility, the effective and rational evaluation index system is established. And the evaluation index system mainly involves the formal examination, the process monitoring, and the program content. The self-learning adaptability of the neural network theory and the powerful global search ability of genetic algorithm are fully applied to overcome the subjectivity and randomness in the evaluation process. And the simulation example shows that the evaluation model has high stability and accuracy. And it is a new applicable algorithm model for the evaluation of the requirement scheme for equipment system.
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| DOI:10.12733/jics20150830 |
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