数字地球是一个复杂、动态变化的自适应网络系统。
Digital Earth is an adaptive network system which has characteristics of complexity and dynamic change.
雷神公司的移动自适应网络协议也是系统研发的一项关键技术。
Raytheon's mobile AD hoc networking protocols are among the key technologies used in the system's development.
该司的劳动模范的单独部门已经过时，必须代之以课程结构就像一个复杂的自适应网络或网络。
The division-of-labor model of separate departments is obsolete and must be replaced with a curriculum structured like a web or complex adaptive network.
实际应用表明，本文提出的自适应网络模型可以有效提高IPTV系统的性能，具有广阔的应用前景。
It is proven that the adaptive model can improve the performance of IPTV system effectively and has a wide and prosperous future in application by the real application.
提出基于自适应网络模糊推理系统(ANFIS)的神经模糊控制器作为船舶减摇鳍系统的控制装置。
In this paper, we present an Adaptive Network-based fuzzy Inference system (ANFIS), based on a neuro-fuzzy controller, as a possible control mechanism for a ship stabilizing fin system.
该算法在无线传感器网络MAC层实现了网络规模的可扩展性，增强了网络自适应网络规模变化的能力。
This algorithm implemented the expansibility of network size in MAC layer, and enhanced the adaptive ability of network to the variety of the network size.
当信道处于深度衰落时，该文提出了一种宽松自适应网络卷积编码协作中继方法，放松了中继参与转发的条件。
When channels are in deep fading, this paper proposes a loose adaptive network convolutional coding for cooperative relaying, relaxing the conditions of the relay participating in forwarding.
利用ANFIS较强的学习能力和模糊逻辑推理功能，建立了单桩竖向极限承载力预测的自适应网络模糊推理系统。
Based on the strong learning ability and fuzzy logic function of ANFIS, a method for predicting vertical ultimate bearing capacity of single pile is presented.
提出一种基于步态规划分级结构的自适应网络模糊推理系统控制策略，该方法不需要确定双足机器人运动学和动力学模型。
Proposed an adaptive network fuzzy inference system control strategy based on hierarchy structure of gait planning, which do not require detailed kinematics or dynamic biped models.
给出了该自适应网络的结构，在此基础上给出了网络权值的修正算法，即综合最陡下降法和最小二乘法得到的一种混合学习算法。
The structure of ANFIS is proposed. Then a mixed learning arithmetic based on back promulgate and least-square arithmetic is presented to modify the network parameters.
XF-I系统把最先进的EPLRS有效波形用于通信、战术位置定位信息和电子对抗，可提供有力、具备自我修复能力的环境自适应网络。
The XF-I system uses the most advanced EPLRS waveform available for communications, critical position location information and effective electronic counter-countermeasures.
据雷神公司报道，频率扩展型的EPLRS系统(EPLRS - XF)使用了最新的移动自适应网络技术，可以自动不断地适应网络变化。
According to Raytheon, the extended frequency version of the EPLRS (EPLRS-XF) USES the latest mobile ad-hoc networked technology to automatically and continually adapt to network changes.
通过这些片上自适应网络元件与体系，将来物联网中的基本通信跟交互设施将可能根据环境跟利用中始终变更的通信须要自主的进行恰当的响应。
Such run time adaptive network on chip will adapt the underlying interconnection infrastructure on demand in response to changing communication requirements imposed by an application and context.
本文借鉴生物免疫系统中的免疫机制，对检测元的生成机制和匹配算法进行了较深入的探讨，描述了一个基于免疫原理的分布式自适应网络入侵检测系统。
In this paper inspired by the immune mechanism in the biologic immune system, we discussed deeply the generation principle and the matching algorithm of the detector.
此外，罗克韦尔柯林斯公司的网络解决方案将提供实时自适应通信能力。
In addition, Rockwell Collins' networking solutions will provide real-time, AD hoc communications capability for the program.
该实验室已经帮助评估哈里斯AN/PRC-117G宽带战术无线电，在网络集成演习中运行最新版本自适应宽带网络波形。
The laboratory has already helped evaluate Harris AN/PRC-117G wideband tactical radios running the latest version of the Advanced Ad Hoc Networking Wideband Waveform for use in the current NIE.
基于自适应噪声对消技术及人工神经网络(ANN)理论，提出了一种谐波电流动态检测方法。
Based on self adaptive noise countervailing method and artificial neural network (ANN) theory, this paper proposes a new approach to the dynamic detecting harmonics.
由于小波变换能有效地提取字符的结构特征，自适应共振(art)网络有很好的学习能力。
Because that wavelet transform can effectively extract the characters, the Adaptive Resonance Theory (ART) Neural Networks has a good learning ability.
小灵通使用TDMA(分时多址)/(时分复用)作为其接入无线网络的方法，且声讯编码以自适应差分脉冲编码调制方式调制，速率为每秒32千比特。
PHS uses TDMA/TDD for its radio channel access method, and 32 kbit/s ADPCM for its voice codec.
本文根据变量泵的具体情况，为其设计了自适应的神经网络模糊控制器，实现了变量泵的智能控制。
This paper describes that the combination of neural networks and fuzzy controller make the designing an intelligent controller for variable piston pumps become feasible and realistic.
本文提出了一种基于改进的神经网络(MNN)的自适应闭环功率控制算法，该方法平滑了移动信道衰落的影响，使基站接收到的小区中所有用户的信号功率相等。
In this paper, a Modified Neural Network (MNN) based power controller is proposed to smoothen out the fast fading and keep the received signal power from each user constant at the base station.
实验结果表明，该模型可以较好地检测异常的网络数据包，具有较好的自适应性。
Results show that this model can detect abnormal data packets well, and has a better self adaptability.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
提出了基于自适应子波网络的多用户检测方法。
A multiuser detection method based on adaptive wavelet network is proposed.
本文将自适应线性神经网络理论应用于非线性负载电流中畸变电流的检测。
Adaptive linear neural network is used for detecting the distortion currents of nonlinear loads.
提出利用直接自适应模糊神经网络控制一类不确定非线性混沌系统新方法。
A novel direct adaptive fuzzy neural networks (FNNs) controller for a class of uncertain nonlinear chaotic system is presented.
本文深入研究了ALM技术和P 2 P网络模型的特点，提出一种同时支持ALM和P 2 P的自适应的网络模型。
In this dissertation, ALM technology and P2P network models are deeply studied and an adaptive network model which supports ALM and P2P is proposed.
结果表明，相对于常规PD控制器，该神经网络控制器具有自学习、自适应功能，位置跟踪获得了满意的控制效果。
The simulation results prove that the neural network controller has self-learning and self-adaptive ability by comparison with PD controller. The position tracking control obtains satisfactory effect.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
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