Dynamic reduction problem is discussed and algorithm adding and reducing rules in the decision-making table dynamically are put foreword so as to reduce the computing complexity.
一方面分析了动态自主知识获取问题中的决策表动态约简问题，确定了在获得基本最小规则集后动态增加或减少规则的算法。
Design an multiplication based on parallel LUT (Look up Table). The problem of time parallel is resolved with pipeline optimization algorithm, the speed of DCT is accelerated.
改进了DCT变换算法，设计了并行查找表结构的乘法器，采用了流水线优化算法来解决时间并行性问题，提高了DCT模块的运算速度。
The genetic algorithm(GA) with excellent optimizing ability is introduced to solve the problem, which tries to make it possible to construct a uniform designs table automatically.
将寻优能力极强的遗传算法引入该构造过程使均匀设计表的自动构造成为可能。
Algorithm of DNA computing for time-table problem was obtained with introducing manifold biochemical experiments on closed circle DNA computing model.
基于闭环dna计算模型引入多种生化实验得出求解排课表问题的DNA算法。
Algorithm of DNA computing for time-table problem was obtained with introducing manifold biochemical experiments on closed circle DNA computing model.
基于闭环dna计算模型引入多种生化实验得出求解排课表问题的DNA算法。
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