1)  ACD model
自回归条件持续性模型
1.
Research based on combination of high frequency data with Auto-regressive Conditional Duration(ACD) Model shows that ACD model can successfully describe the intensity of bargaining arrival.
结合高频数据和自回归条件持续性(ACD)模型进行的研究表明:在中国市场,自回归条件持续性模型可以成功用来衡量交易到达的强度。
2)  Auto regression
自回归
1.
An effective method of dynamic power management based on wavelet and AR(auto regression) is proposed to extend life of wireless sensor networks by making economical use of energy.
为了最大限度地节约能量的使用,延长无线传感器网络使用寿命,提出了一种利用小波和自回归的动态功率管理(DPM)方法。
3)  self-tempering
自回火
1.
This paper comprehensively studies the properties of strength and toughness of U-shape steels 20MnK,Q275 on test pieces under various processes of intercritical hardening and self-tempering.
以20MnK、Q275两种牌号U型钢进行试验,全面探索了U型钢经亚温淬火及自回火后的强韧性。
4)  self tempering
自回火
1.
Simultaneous heating and quenching with high power medium frequency equipment for parts of long shaft,adopting special induction coil and adjustable induction coil and self tempering,will improve on medium frequency quenching quality of the parts and raise obviously productivity,thereby cause the enterprise to obtain fine product quality,high productivity and Low production cost.
对长轴类零件采用大功率中频机同时加热表面淬火的方法 ,配以专用感应圈和伸缩感应圈的应用和自回火的应用 ,结果表明 ,可提高零件中频表面淬火质量 ,并大大提高生产效率 ,从而使企业在生产中取得高产品质量 ,高生产效率和低生产成本的极佳效果。
2.
The investigation was conducted on the technique of intercritical hardening by medium frequency induction and self tempering for the high strength bolts.
对高强度接头螺栓进行了中频加热感应亚温淬火及自回火工艺研究。
5)  Autoregression
自回归
1.
Hydrologic forecast model with multidimensional and hybrid regression system is combined by regression and autoregression methods.
多维混合回归系统模型是将回归与自回归结合起来的综合模型。
2.
Meanwhile, the grey forecasting models were improved and it was verified that the time response series had the properties of autoregression.
利用 Z 变换给出 G M (1,1)、 G M (2,1)的时间响应序列,改进了灰色预测模型,同时证明该时间响应序列具有自回归性。
3.
This paper introduces a recurrence formula for estimating the variances of errors of a sequence forecasted by an autoregression model and gives two examples under both smooth and nonsmooth conditions.
讨论了自回归模型的预测误差的方差估计问题,给出了详细的递推计算公式,并给出了平稳序列与非平稳序列的例子各1个。
6)  autoregressive
自回归
1.
This paper proposes a non-linear adaptive filtering method based on analyzing the performance of the conventional adaptive methods in the cases of that the NBI can be modeled as a single tone,an autoregressive(AR) stochastic process or narrow band BPSK digital modulation signals.
在分析线性自适应滤波抑制单频干扰、自回归过程窄带干扰和窄带BPSK调制信号干扰的性能的基础上,提出了一种非线性自适应波抑制方法。
2.
An adaptive spectral-estimation model was established, and the frequency estimation was implemented by autoregressive and adaptive algorithm.
提出了一种基于谱估计的跳频(FH,FrequencyHopping)信号的捕获方法,建立了自回归自适应谱估计模型和算法,通过计算信号频谱估计了跳频信号的瞬时频率。
3.
On the basisof1 Dautoregressive integrated m oving average m odelARIMA (p;d;q), the 2 D m ixed autoregressive m oving average m odel ARMA (m , n; p, q) w as developed.
在一维自回归求和滑动平均模型(ARIMA(p;d;q)的基础上,探讨了其在二维图像空域序列的模型推广。
参考词条
补充资料:持续性部分性癫痫


持续性部分性癫痫
epilepsia partialis continua

  又名“Kojewnikow综合征”,是大脑运动皮质病变引起的部分性运动性发作,特点是面部肌肉或上肢的限局性阵挛,持续不断,但意识无障碍。本综合征有两种临床类型:①起病于2~10岁,平均6.4岁。都有已知的病因,如炎症、血管病等。阵挛发作总是限局性的,肌阵挛发作出现较晚。脑电图背景波形正常,棘慢波发放主要限局于中央区。病程不进展。一般没有智力发育障碍。②小儿慢性进行性持续性部分性癫痫,即Rasmussen综合征。本型病因不明。起病在2~14岁间,起病前正常或在数月内有感染史。发作形式是部分性运动性阵挛,以上肢为主,成为一侧身体。发作频繁。常伴其他发作类型,肌阵挛抽搐出现时间较早。常有偏瘫,智力落后等神经系异常。脑电图背景波变慢、不对称。发作期和间期均有爆发性棘慢波,常为弥漫性或多灶性。上述癫痫治疗困难。
  
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