自适应系统

• It adopts broad band - based technology , which uses broader bands ; 3 ) it has self - adaptive system distribution , service stream and channel conditions adaptive to variations , strong organization and flexibility
  （ 3 ）应具有自适应系统分配和适应变化的业务流和信道条件，有很强的自组织性和灵活性。
• Sencondly , passive location system nonuniformly - sampled data synchronization algorithm is designed based on the particularity of the passive location nonuniformly - sampled data , which including adaptive system period algorithm with sliding window and fast interpolation algorithm
  Cep其次,针对无源定位系统非均匀采样数据的特殊问题提出了无源定位系统非均匀数据同步化算法,即滑动窗自适应系统周期计算和快速内插算法。
• As a sensitive instrument , it is very significant in astronomical telescope , laser communication , tracking and sighting system , picture stability optical system and autoadaptation optical system , etc . in recent years , this device is developing continuously at home and abroad
  在天文望远镜、激光通讯、图象稳定系统、自适应系统、跟踪瞄准和激光发射光学系统中广为应用。近些年国内外都在不断地研制和发展这种装置。
• At the same time , analysis of effects of gaussian distributed and uniform distributed feedback error of the channel fading behavior on throughput performance of adaptive mqam reveals that the obvious throughput loss shall be observed as far as the error exceeds certain limit
  同时，高斯分布和均匀分布的信道衰落信息反馈误差对自适应mqam吞吐量性能影响的研究表明，当误差超过一定程度时，自适应系统吞吐量性能明显下降。
• Based on the idea of unit model , the theory of water balance , and hydro - system identification method , the adaptive system identification unit model ( asiu ) , which has been applied and checked up in the tarim river basin , has been put forward in the paper
  摘要针对复杂流域水资源变化模拟这一难点问题，基于单元模型思想，依据水量平衡原理，采用水文系统识别方法，提出了自适应系统识别单元模型( asiu ) ，并在塔里木河流域进行应用检验。
• In this paper i study the newly call center based on cbr model in three facets . in terms of theory firstly , a recursively and un - structural adaptive system is set up based on the theory of cbr model . and a call center system with distributional architecture is built up
  本文在三个方面研究了基于cbr模型的呼叫中心系统：一是在理论上，以cbr模型作为基本理论，建立了一种有循环的、非结构化的自适应系统，构建了具有分布式结构的呼叫中心系统。
• The gate - motor syste m of the elevator is also discussed in rough as the research background . this paper also does some work about the self - adaptation function in the dtc - system and brings forward self - adaptation - system on software according to the requests of the gate - motor system
  本论文以电梯门机系统作为应用背景，对其作了大致的介绍；并按照门机系统的工作要求，对带有自学习功能的直接转矩控制系统作了探讨，并根据应用背景建立了相应的自适应系统。
• First , this thesis introduces in and defines 3 basic concepts - adaptability , corporate adaptability and corporate adaptive growth . then , it analyses and proves the following basic propositions : an enterprise is a special organism with human volitions ; an enterprise ' s environment is an ecological system ; an enterprise ' s organization is a complex self - adapted system ; an enterprise survives to realize its values ; as an organism , an enterprise has the likelihood of adaptive growth
  研究的主要内容如下：首先引入并界定适应性、企业适应性和企业适应性成长三个基本概念，分析并论证了本研究的几个基础性命题：企业是具有人为意志的特殊生命体；企业环境是生态系统；企业组织是复杂自适应系统；企业为实现价值而存在；企业生命体具有适应性成长的可能性。
• We integrates agile network manufacture , the promotion of manufacture enterprise ’ s core capability and the manufacture environment integrated by the network manufacture resources , study the question of uncertain in supply chain from the technology and the strategic aspects . in the aspect of supply chain operate mode , we proposes the complex self - adaptive system model and strategy and conceptual model of the question of uncertain in supply chain . furthermore , we analyzes the influence of the question of uncertain in supply chain and discusses corresponding control mechanism
  本文在国内外相关研究经验和成果基础上,结合敏捷网络化制造、提升制造企业核心能力和网络化制造资源集成的制造环境,从技术和战略两个层面对供应链不确定性的机理进行系统分析和研究,在运行模式方面,提出基于复杂自适应系统范式供应链运作模式与策略、供应链不确定性产生机理的概念模型,并在此基础上,剖析供应链不确定性影响并讨论相应控制机制。
• Based on the traditional adaptive system , the fuzzy neural network replaces the original organization in the paper . a kind of new method of speed estimation based on fuzzy neural network , and the structure and learning algorithm of fuzzy neural network are proposed in the paper
  在传统型参考自适应系统基础上,将系统中原有的自适应调节机构用一个具有在线学习能力的模糊神经网络取代,提出一种基于模糊神经网络的异步电机转速估计方法,并给出了速度估计器的模糊神经网络结构和学习算法。