基于智能体的自适应入侵检测系统   总被引：1，自引：0，他引：1  

李平  黄迪明 《成都信息工程学院学报》2004,19(4):535-540

提出了一种基于智能体技术的自适应入侵检测系统体系结构,将智能体技术和自适应模型生成技术应用于入侵检测系统中.智能体技术的应用解决了传统的集中式入侵检测系统的弊病,将任务处理和数据分布到网络各个结点上,通过各种智能体来协作完成入侵检测任务,充分利用网络和主机资源.而智能体与自适应模型生成技术相结合,采用遗传算法建立准确的数据模型,使得入侵检测系统能够自动配置和更新不同环境下的入侵检测模型,能够通过自我学习、自我改进来提高系统的入侵检测能力和适应能力.  相似文献   

A Generalized Backward Euler algorithm for the numerical integration of an isotropic hardening elastoplastic model for mechanical and chemical degradation of bonded geomaterials     

Claudio Tamagnini  Riccardo Castellanza  Roberto Nova 《国际地质力学数值与分析法杂志》2002,26(10):963-1004

An extended version of the classical Generalized Backward Euler (GBE) algorithm is proposed for the numerical integration of a three‐invariant isotropic‐hardening elastoplastic model for cemented soils or weak rocks undergoing mechanical and non‐mechanical degradation processes. The restriction to isotropy allows to formulate the return mapping algorithm in the space of principal elastic strains. In this way, an efficient and robust integration scheme is developed which can be applied to relatively complex yield surface and plastic potential functions. Moreover, the proposed algorithm can be linearized in closed form, thus allowing for quadratic convergence in the global Newton iteration. A series of numerical experiments are performed to illustrate the accuracy and convergence properties of the algorithm. Selected results from a finite element analysis of a circular footing on a soft rock layer undergoing chemical weathering are then presented to illustrate the algorithm performance at the boundary value problem level. Copyright © 2002 John Wiley & Sons, Ltd.  相似文献   

Inverse Analysis of Deep Excavation Using Differential Evolution Algorithm   总被引：1，自引：0，他引：1       下载免费PDF全文

B. D. Zhao  L. L. Zhang  D. S. Jeng  J. H. Wang  J. J. Chen 《国际地质力学数值与分析法杂志》2015,39(2):115-134

This paper presents the applications of the differential evolution (DE) algorithm in back analysis of soil parameters for deep excavation problems. A computer code, named Python‐based DE, is developed and incorporated into the commercial finite element software ABAQUS, with a parallel computing technique to run an FE analysis for all trail vectors of one generation in DE in multiple cores of a cluster, which dramatically reduces the computational time. A synthetic case and a well‐instrumented real case, that is, the Taipei National Enterprise Center (TNEC) project, are used to demonstrate the capability of the proposed back‐analysis procedure. Results show that multiple soil parameters are well identified by back analysis using a DE optimization algorithm for highly nonlinear problems. For the synthetic excavation case, the back‐analyzed parameters are basically identical to the input parameters that are used to generate synthetic response of wall deflection. For the TNEC case with a total of nine parameters to be back analyzed, the relative errors of wall deflection for the last three stages are 2.2, 1.1, and 1.0%, respectively. Robustness of the back‐estimated parameters is further illustrated by a forward prediction. The wall deflection in the subsequent stages can be satisfactorily predicted using the back‐analyzed soil parameters at early stages. Copyright © 2014 John Wiley & Sons, Ltd.  相似文献   

DCMT活动光栅控制系统     

Li Huanxin  Li Zhigang  Zhang Jing 《时间频率学报》1995,(1)

ＤＣＭＴ活动光栅的控制系统是主测微器的主要部分，本控制系统操作灵活，它既能联机工作又能脱机工作，并具有自动报警和自动复位功能。主测微器承担测定天体和５个自准直像的位置，要比传统的活动光栅复杂得多．本设计的独特之处在于用分区、分时并配以光栏控制诸方法确定全部像的位置。保证了所有的观测在同一个系统之内．经一年来的实际观测证明，本系统精度优于０”．０３，达到了同类别微器的先进水平．  相似文献   

A hybrid Bayesian back‐propagation neural network approach to multivariate modelling     

C. G. Chua  A. T. C. Goh 《国际地质力学数值与分析法杂志》2003,27(8):651-667

There is growing interest in the use of back‐propagation neural networks to model non‐linear multivariate problems in geotehnical engineering. To overcome the shortcomings of the conventional back‐propagation neural network, such as overfitting, where the neural network learns the spurious details and noise in the training examples, a hybrid back‐propagation algorithm has been developed. The method utilizes the genetic algorithms search technique and the Bayesian neural network methodology. The genetic algorithms enhance the stochastic search to locate the global minima for the neural network model. The Bayesian inference procedures essentially provide better generalization and a statistical approach to deal with data uncertainty in comparison with the conventional back‐propagation. The uncertainty of data can be indicated using error bars. Two examples are presented to demonstrate the convergence and generalization capabilities of this hybrid algorithm. Copyright © 2003 John Wiley & Sons, Ltd.  相似文献   

构造地质学中的地质思维初探     

魏宽义 《地球科学与环境学报》1989,(3)

地质模型的建立,地质思维的正确运用已成为引导地质学前进的两个关键环节。本文以构造地质学领域中近年来的研究成果为基础,探讨了与空间和时间有关的地质思维问题。指出:一个地质现象的观察,一定要结合高一级尺度和低一级尺度的综合研究,才能得出既有形成机制、又有组合规律的全面结论;一个构造形迹,一定要尽力区分出不同的递进变形阶段,以提供以时间为坐标的演化序列。文末,笔者提供了两个研究实例,一个用小构造分析论证区域构造演化,一个据叠加变形原理,把研究对象区分成不同的区段和亚域。  相似文献   

东川拖布卡金矿矿化层位与找金方向   总被引：10，自引：3，他引：7  

薛步高 《云南地质》2005,24(3):243-253

超大型拖布卡金矿的发现,表明东川地区具备找金前景.“黑层”是金的成矿前提,断裂加蚀变是成矿必备条件,基性与中性岩脉在容矿层中的侵位,是找富金的重要标志.金成矿全过程应是多旋回（晋宁、华力西、燕山、喜马拉雅山）成矿作用,且受剪切破碎带控制的黑层型金矿.  相似文献   

Marquardt算法磁测三维反演方法策略   总被引：3，自引：0，他引：3  

李军  李才明  王邦华  侯智勇 《物探化探计算技术》2004,26(4):320-324

在磁法三维反演中,反演对象数目往往巨大,受限于当今的计算机技术与计算方法,在超大规模方程组的求解时遇到极大的困难。所以,在解决实际问题时能力非常有限,对于Marquardt算法磁测三维反演问题尤为突出。为此,在这里提出了两个较为有效的方法策略,即将模型组体化和将组体分类,并在理论应用中得到了较好的效果。  相似文献   

DCT域遥感影像的自适应遗传优化增强     

李国  龚志辉  贾博  魏小峰 《测绘科学》2012,37(6):135-137

本文在DCT域中提出了一种基于遗传算法的遥感影像增强技术,针对DCT域遥感影像增强参数需人工设定的问题,利用自适应遗传算法对其进行优化选取:设计了一种考虑偏差的适应度函数以驱动遗传算法进化,通过无分块思想的使用实现了无人工干预、无块效应的遥感影像增强。该方法不但保持了遥感影像的原始色调而且显著提升了遥感影像方差、平均梯度、信息熵等质量测度,有效改善了遥感影像的视觉效果,便于后续影像处理及应用。  相似文献   

土地利用现状图中数据缩编的质量控制分析     

李香莉  李恒利  蔡冬梅 《测绘与空间地理信息》2012,35(4):175-177

1∶50000土地利用现状图是土地利用研究的基础数据之一,编制土地利用现状图对制定河南省社会和经济中长期发展规划、土地利用总体规划和城乡规划,全面加强土地管理,促进全省经济发展起着非常重要的作用.本文结合1∶50000土地利用现状要素数据缩编工程质量检查工作实践,总结了质量检查的内容、技术要求及检查方法,提高了作业质量和效率.  相似文献