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In the first place, on the base of studies concept ascending and attribute dependency, we forward a method to select attribute value partition, which can effectively resolve the problem of minimum faith and minimum support, in order to induct potential knowledge from standard discrete symbolic data, the dissertation studies join operation for generating candidate set and delete operation for deleting redundant equivalence class, and propose an recursion algorithm to realize highly generalization of data.

首先在研究概念爬升方法和Rough集理论中属性隶属度原理的基础上提出了一个划分属性值区间的算法,该算法能够有效的解决最小支持度问题和最小信任度问题。进而为了从已离散化的数据中概括出潜在的规则,研究了生成侯选集的交运算方法和排除冗余等价类的删除方法,然后利用循环推进机制实现对数据的概括。

On the basis of analyzing the characteristic of the basic immune algorithm and utilizing the ergodic property of the chaotic sequence, an adaptive immune evolutionary algorithm combined with chaotic sequence is proposed and used at the training of the neural networks.

在分析基本免疫算法优化性能的基础上,利用混沌序列的遍历性,给出了一种嵌入混沌序列的自适应免疫进化算法,并将其应用于神经网络的训练中。

Furthermore, on the ground of the traditional algorithm and the error analysis, an advanced algorithm is proposed.

在原有算法的基础上,提出了一种基于统计规律的改进算法。

In the algorithm similarity degree is a very essential and very important parameter, therefore this paper abandons the original self-adapted genetic algorithm's consistent strategy that algorithm do the mutation after the cross.

如何在已有研究的基础上,针对大规模这一特点,提出一些行之有效的算法,使调度算法更贴近实际应用,已成为近年来生产调度领域研究的一个新热点。

The performance of the proposed estimator is compared to existing algorithms.

这个被提议的估计算法在实际效果上要优于现有的算法。

In order to accurately estimate kinetic parameters, a new method, named as eugenic evolution programming, was proposed.

为准确估计反应动力学参数,在分析确定性优化方法与进化算法特性的基础上,提出了一种由优进策略支持的进化规划方法,它将确定性寻优的两点梯度法引入随机的进化规划算法中。

For the purpose of saving running time of iterations,this paper applies Adaptive method to Power Extrapolation algorithm.

文章在Power Extrapolation算法的基础上引入Adaptive Method,实验结果初步证明了新算法可以减少迭代运算的时间。

Based on the characterization factor matrix, which is calculated from the 128 bit key matrix characterization factor, the enhancement of the encryption process is made.

在引入特征因子子矩阵的基础上对算法流程进行了改进,使算法的加、解密完全对称。

Base on this, a new algorithm is presented for computing the pseudo-cholesky factorization of a matrix..

接下来,提供了一种应用统一旋转变换的快速算法。算法的核心部分是统一的变换应用在一个2乘n矩阵上。

Based on the cross-trace algorithm proposed by these authors,a fast algorithm is proposed in this paper.

在提出的叉迹算法的基础上,提出一种快速编码算法。

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这一模式非常关注商人的网络信用基础。

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