查询词典 algorithm

An algorithm of eliminating the correlation of synthetic indexes based on index equivalence class is proposed in terms of Dijkstra algorithm. The reduction ranges of evaluation indexes can be reduced, and the anterior reduction results are used to increase the efficiency.

借鉴Dijkstra算法，提出了基于指标等价类的合成指标动态约简算法，即通过等价类划分来缩小参与约简的指标范围，并充分利用前一次约简以求得最终指标约简的结果。

To solve this problem,the equivalence relation of rough set theory is replaced by an asymmetrical similar relation,and from this relation,an asymmetrical similar matrix is defined,then a new heuristic algorithm with less space complexity that require core and knowledge reduction based on asymmetrical similar matrix is proposed,and an example is given to confirm the validity of the algorithm.

用非对称相似关系代替粗糙集理论中的等价关系，定义了非对称相似差别矩阵，提出了基于非对称相似差别矩阵的高效求核和知识约简算法。该算法无需改变初始不完备信息系统的结构，能直接处理缺省数据。实验结果表明，新算法所获得的决策规则简洁、高效，与缺省值无关。

For example, the Maximum Membership Function Principle is proposed in Chapter 2 on which the presently"scattered" ones among fuzzy mathematical operations for fuzzy control methods such as the acquisition of fuzzy relation, the composition of fuzzy relations and the fuzzy set projection algorithms can be unified to within a common theoretic frame; the geometric criterion for the redundant design parameters is developed for a class of fuzzy supervisory control algorithm in Chapter 4; such concepts as the metric equivalent distance between fuzzy rules are defined to realize the highly efficient reasoning process; consequently the strategy and algorithm for a dynamically commissioned fuzzy controller is given.

如在第二章中，提出了最大隶属度原则，从而将现有模糊控制方法中诸如模糊关系的获得、模糊关系的合成、模糊集的投影等"零碎"模糊数学运算统一到一个共同的理论框架之中；在第四章中，还针对一类模糊监督控制算法推导了其冗余设计参数的几何选取准则；为实现高效推理过程而定义了模糊规则间的距离当量等概念，在此基础上，提出了动态构造模糊控制器的策略和算法。

Complicated system ; fractal ; nonlinear dynamics ; Mandelbrot set ; Julia set ; extension factor ; ternary number ; period-checking algorithm ; volume rendering algorithm ; equivariant map ; chaotic dynamic system ; synthesis of mechanism

国家自然科学基金；国家重点基础研究发展计划(973计划)复杂系统；分形；非线性动力学；可视化； Mandelbrot集； Julia集；变形伸缩因子；三元数；周期检测法；体绘制算法；等变映射；混沌动力系统；机构综合

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。

By use of the ergodic property of chaos movement and the inversion of genetic algorithm, a chaos genetic algorithm was proposed. Its basic principle lies in the small disturbance of which extent is adjusted during searching to child generation group using the chaos variable.

摘 要：利用混沌优化的遍历性和遗传算法优化的反演性，提出了混沌遗传算法，其基本思想是把混沌变量加载于遗传算法的变量群体中，利用混沌变量对子代群体进行微小扰动，随着搜索过程的进行逐渐调整扰动幅度。

In this thesis, a new detection method, Network Intrusion Detection based on Unsupervised Clustering and Chaos Simulated Annealing algorithm, is proposed. NIDCCSA utilizes the ergodic property of chaos to complete the perturbation of states. Therefore, simulated annealing algorithm based on chaos is more likely to converge to the globally optimal solution and enhance the detection rate.

论文中提出使用聚类和混沌模拟退火算法进行网络入侵检测——NIDCCSA算法，NIDCCSA算法充分利用了混沌的遍历性特点进行状态的变换，这样的混沌模拟退火算法更加可能收敛到全局最优解，从而提高检测率。

For a class of bilevel multi-objective decision,this paper converts it into the problem of equivalent single-level multi-objective decision,then makes use of the inversion property of the genetic algorithm with the ergodic property of the chaos optimization method.Combined with exact non-differentiable penalty function,a new chaos genetic optimization algorithm is presented.

针对求解一类二层多目标决策问题，首先将其转化为等价的单目标决策问题，然后利用遗传算法优化的反演性和混沌优化方法的遍历性，并结合精确不可微罚函数求解非线性约束优化问题，提出了求解此类问题的混沌遗传算法。

A class of bilevel multi-objective programming was converted into the problem of equivalent single-level multi-objective programming. Then a new chaos genetic optimization algorithm was presented by using the inversion property of genetic algorithm and the ergodic property of chaos optimization method and combining with the exact l_1 penalty function.

针对求解一类二层多目标规划问题，首先将其转化为等价的单目标规划问题，然后利用遗传算法优化的反演性和混沌优化方法的遍历性，并结合精确罚函数求解非线性约束优化问题，提出了求解此类问题的混沌遗传算法。

Particle swarm optimization algorithm has been developed recently, which is suitable for solving continuous problem, but its lack of ergodicity impairs the algorithm global search property.

新近发展的粒子群优化算法，基于群智能机理，适于求解连续问题，但它不具备遍历特性，影响了全局搜索能力。

The split between the two groups can hardly be papered over.

这两个团体间的分歧难以掩饰。

This approach not only encourages a greater number of responses, but minimizes the likelihood of stale groupthink.

这种做法不仅鼓励了更多的反应，而且减少跟风的可能性。