Since summary data is precomputed in the mqts , db2 optimizer may rewrite a specific query to access an mqt instead of based tables because the optimizer can recognize if result sets can be derived from an mqt with less predicted cost 因为汇总数据在mqt中预先计算,所以db2优化器可以改写特定查询来访问mqt ,而不是基础表,因为优化器可以识别是否能以较少的预计成本从mqt得到结果集。
The fuzzy layer of the hybrid fnn include two kinds of neurons , one is gaussian fuzzification neuron which used to give the continuous input an fuzzy membership value , another is a presented fuzzy cluster neuron which also used to give the discrete input an fuzzy membership value 该混合模糊神经网络的模糊化层除了具有模糊化神经元,还加入一类模糊聚类神经元。模糊聚类神经元通过预先计算的模糊聚类隶属度矩阵来输出对应于离散输入的模糊化值。
The model fully balances the characteristics of pre - computation and real - time computation , effectively separates the special route information on individual station and the common information of the whole railway network in route computation , and thoroughly solves the problems existing in the route computation 该模型充分平衡预先计算与实时计算的优点,在保证径路有效性和合理性的前提下,对径路计算中的车站个性径路信息和全路共性信息进行有效剥离,从根本上解决了径路计算存在的问题。
A novel method of content - based image segmentation using deformable template matching is proposed . a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly . then the definitions of internal and external energy functions are given according to the image segmentation problem , and genetic algorithm is used to obtain globally optimal solutions . the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template . experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method 本文提出一种采用可变形模板匹配技术进行基于内容的图像分割算法.通过预先计算出可变形模板沿着变形的正交曲线,并对模板曲线及正交曲线进行离散抽样,建立一基于正交曲线的二维( 2 - d )可变形模板,针对图像分割问题定义控制可变形模板进行变形的内、外部能量函数,本文采用遗传算法搜索能量函数最小的全局最优解.该新算法比传统的可变形模板匹配方法降低了搜索空间的维数,减少了算法对模板初始位置的敏感.对实际图像及模拟低信噪比图像处理的结果表明,新算法具有良好的分割精度及稳定性
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