A component selection approach meeting trust expectation nearest to user requirement is explored by means of the fuzzy theory.
运用模糊理论,提出了一种满足最贴近用户可信度期望的构件选择方法。
Put another way, can you devise a selection approach that would be expected to provide 75 (or more) out of 100 Arctic visitors with five perfect flares?
换个方式说,你可以设计一种选择方式,让100个造访北极的旅客中,至少有75个人可以带著五枚可用的照明弹吗?
Simulation results show that the optimal selection approach based on PSO is available and the PSO-SVR model has superior learning accuracy and generalization performance.
仿真结果表明:该P SO优化SVR参数方法可行、有效,由此得到的SVR模型具有更好的学习精度和推广能力。
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