1) updating technique
现实校正
2) the reality of the university
学校现实
3) real-time correction
实时校正
1.
Probe into the Application of Artificial Neural Networks in Hydrologic Real-time Correction;
人工神经网络在水文实时校正中应用的探索
2.
The difficulty problem of image deform in multi-speed security verification system is discussed in the paper, and a real-time correction algorithm is provided.
方法:提出了在线的实时校正算法;结果:经仿真试验表明,该算法性能可靠,适合多种传输速度安检系统的图像实时校正。
3.
The real-time correction algorithm based on Kalman filter technique was proposed to improve the accuracy of real-time hydrological forecasting under the circumstances that the nonlinearity of flow concentration of river channels is evident.
基于卡尔曼滤波的河道汇流实时校正算法,采用非线性马斯京根矩阵解法,将河道汇流表达为一个时变线性系统,满足了卡尔曼滤波状态空间表达的要求。
4) compaction correction
压实校正
1.
Methods According to compaction correction model and Airy isostasy hypothesis, backstripping methode can be used easily to calculate the total subsidence and tectonic subsidence of the two sags.
方法 利用回剥技术,根据压实校正模型和艾利均衡模型对两凹陷的总沉降量及构造沉降量进行求取。
5) real-time adjustment
实时校正
1.
The Kalmann filter real-time adjustment technique based on artificial neural networks;
基于人工神经网络的卡尔曼滤波实时校正技术
2.
In this paper the method of real-time adjustment of flood forecast for large river systems is developed based on the analysis of real-time flood forecast and real-time adjustment.
分析了大河系统实时洪水和实时校正方法,在此基础上提出了大河系统洪水预报的实时校正的构思和方法。
6) real time correction
实时校正
1.
The feasibility of application of Kalman filtering to real time correction of hydrodynamic model is discussed in the paper and the state-space equation can be established using the discrete St.
本文回顾了卡尔曼滤波技术应用在实时水文预报中的研究进展,对水动力学模型的实时校正提出基于卡尔曼滤波的多步(交替)滤波校正的思路。
补充资料：超现实主义画派
1924年产生于法国。由法国作家布雷东发起。在巴黎先后发表两次《超现实主义宣言》，形成了超现实主义画派。认为“下意识的领域”，如梦境、幻觉、本能等是创作的源泉，主张从潜意识的思想实际中求得“超现实”。作品主要描写潜意识领域的矛盾现象，把生与死、过去与未来、真实与幻觉统一起来，具有恐怖、离奇、怪诞的特点。代表人物有米罗·恩斯特等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条