Let us assume that a part spent 50 hours from the time it arrived at a plant as a rough casting or bar stock to the time it was a finished product.
让我们假设，一个部分花费50个小时的时间到达工厂作为一个粗略的铸造或酒吧的股票时，这是一个成品。
Aiming at the error between original design and large scale and complex rough casting, a gradient (simulated) annealing algorithm for the best fitting method is presented.
针对大型复杂铸件毛坯与设计原形存在误差，提出了梯度—模拟退火算法来对铸件毛坯进行适配。
This research USES rough sets to reduce this factors, then adopts radial basis function networks to predict and diagnose the continuous casting slab defect.
提出用粗糙集理论简化这些因素，然后采用径向基函数网络对连铸板坯缺陷进行预报诊断。
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