A quasi analytic method for solving structural optimization problems is developed by coordinated use of mathematical transformations, high quality approximation and two level approximation strategy.
协同利用数学变换、高精度近似和二级逼近策略，提出了一种求解结构优化问题的准解析法。
The strategy made full use of the nonlinear approximation of fuzzy logic and the self-adaptability of neural control.
该控制策略充分利用了模糊逻辑对非线性的逼近性和神经控制自适应的特点。
In order to improve the classification quality of decision system, a strategy of data mining classification rules based on rough approaching approximation measurement in data ware is proposed.
为了提高决策系统的分类质量，探讨了一种在数据仓库中基于粗糙逼近近似度量的挖掘分类规则策略。
Nonlinear neural network (NN) control strategy, which was certified the high capacity of approximation, is adopted to control this typical nonlinear system.
本研究采用神经网络控制来解决这类非线性系统的控制问题。
Nonlinear neural network (NN) control strategy, which was certified the high capacity of approximation, is adopted to control this typical nonlinear system.
本研究采用神经网络控制来解决这类非线性系统的控制问题。
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