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adaptively相关的网络例句

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与 adaptively 相关的网络例句 [注:此内容来源于网络,仅供参考]

A neural network was used to design a PID controller with adaptively adjustable parameters for the vehicle stability control program, and a self developed hardware-in-the loop simulator was presented. The tests were made to debug the control program with the above mentioned simulator.

设计了面向车辆操纵稳定性控制的车轮制动神经网络PID控制器参数自调整算法,介绍了自行研制的车辆ESP硬件在环试验平台,采用该平台进行了控制算法的台架试验。

Firstly, by using asynchronous data dealing way of mapping measurements, point track of the multi-sensor measurements is composed. Secondly, SSR is used to modify the height information of the enemy target adaptively. Finally, by using the unscented JPDA algorithm, the sequential filtering fusion of asynchronous sampling measurements can be realized.

该算法首先通过测量值映射的异步数据处理方法对多传感器数据进行点迹的合成,然后通过二次雷达对敌方目标的高度信息进行自适应修正,最后用无味JPDA算法对按序到来的异步采样量测进行顺序滤波融合。

On this basis, according to historical data, apply ANN and differential simulation method to get the quantitatively correlative relations between each production and its own influence factors, and introduce the new methods of prediction for dynamic indexes with gas-field development (The combinatorial prediction method based on fuzzy comprehensive evaluation, the method of ANN to select optimally combinatorial prediction models and the ANN prediction method based on genetic algorithm).(2) Base on mathematical programming, combine with quantitative economics and techno-economics, introduce economical indexes to establish production"s distribution optimal model, production"s constitution optimal model and measured production"s constitution optimal model, including multi-objective models and five-years models. Upon this, the optimal project for all gas field and each gas-collected factory can be got. Also, introduce the time value of capitals to improve on these models.(3) Base on the optimal solution theory and algorithm theory for the nonlinear programming problem, introduce the SUMT algorithm and genetic algorithm to study how to solve the models, and on the basis of normal genetic algorithm, make use of auto-adaptively modulating method to improve on normal genetic algorithm; Base on algorithm"s convergence theory and calculation"s complexity theory to analyze seriatim SUMT algorithm"s convergence and genetic algorithms convergence, and compare performance with each other.

在此基础上,利用神经网络方法和微分模拟方法根据历史数据得到各分项产量与其影响因素之间的定量关联关系,并引入气田开发动态指标新的预测方法(基于模糊综合评判的组合预测方法、神经网络优选组合预测模型预测方法以及基于遗传优化的神经网络预测方法);(2)以数学规划为基础,结合数量经济学和技术经济学,引入经济指标建立产量分配优化模型、产量构成优化模型、措施产量构成优化模型、气田开发多目标规划模型以及五年规划模型,进而获得全气田及各采气厂的最优方案,并引入资金时间价值对五年规划模型进行改进;(3)以非线性规划问题的最优解及算法理论为基础,引入SUMT算法以及遗传算法对模型的求解进行研究,并在原有的遗传算法基础上,引入自适应调整方法对遗传算法进行改进;以算法的收敛性理论和计算复杂性理论为基础,逐一分析SUMT算法以及遗传算法的收敛性,并比较三种算法的优劣性。

It can be followed adaptively to the change of network topology and transferred the complicated radial network into simple trunk network set. Dynamic topology logic equivalent decoupling and subarea is realized by the dynamic topology analysis under the normal network operation condition. It can reduce the fault disposal time availably. The problem of fault analysis disposal is simplified and the efficiency of problem solving is improved.

它能自适应跟踪网络拓扑结构变化,将复杂的辐射网的故障分析处理问题转化为简单的树干网集合的形式,拓扑逻辑等效解耦与分区是在网络正常运行状况下进行动态拓扑分析实现,可有效节省故障处理的时间,简化了故障分析处理问题,提高了问题的求解效率。

The simulation experiment shows that robot can adaptively avoid collision with a single moving obstacle in any speed and any direction.

因为在真实世界中,环境通常是不确定的,例如存在未知的障碍物、无法预测障碍物的未来行为和静

First of all, modeling image by fractional-order derivative and negative Sobolev space, this paper presents a fractional-order multi-scale variation PDE model, and the proposes the adaptive parameter selection method and obtains the field and scale adaptively algorithm for SAR image denoising.

首先利用分数阶导数以及负指数Sobolev 空间对图像进行建模,建立了分数阶多尺度变分PDE 模型,然后给出了模型参数自适应选择方法,并在此基础上提出了区域、尺度自适应的SAR 图像去噪算法。

The statistical discrepancy of each spectral data point is estimated, then the contiguous data points are integrated adaptively based on the statistical discrepancy. Comparing to the fixed width binning, the proposed method can overcome the following negative effects on the subsequently statistical analysis. For example, signals with opposite statistical discrepancies may be superposition in a same region.

通过计算各数据点统计特性,并根据相邻数据点的统计差特性进行自适应积分,克服了目前普遍采用的等间隔分段积分法可能存在的缺陷(如统计差异性相反的信号相互抵消、微弱特征信号被掩盖及谱图信噪比下降等),从而避免了对后续统计分析所产生的负面影响。

Results of computer simulations prove that the MUD has higher SINR value, effective MAI cancellation, better Near -Far resistance capability than Decorrelating MUD. So it"s feasible and reasonable. Simulation results also show that the LMS algorithm can exactly converge to stationary value, works well on BER properties and adaptively detects the users" signals.

实验仿真表明稳态时这种结构的检测器可获得高于解相关检测器的信号干扰比,能够有效地抑制多址干扰,具有良好的抗远近效应能力;采用LMS自适应算法时能够准确收敛到稳态解上,较好的实现自适应检测。

We propose a discrete stochastic approximation algorithm adaptively select a better cooperative subset using criteria such as minimum error rate.

通过蒙特卡罗仿真验证了分析结果以及该算法的性能,并举例说明该算法的收敛性。

In multipath frequency selective fading channels the bits could be adaptively allocated in the subchannels according to the subchannel gains to minimize the total transmission power for a given bit error rate .

OFDM在多径传播通过的频率选择性无线信道时,根据子信道的增益对子信道传输的比特数自适应分配,可以在满足特定比特误码率的前提下使整体传输功率达到最小。

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