- 动态窗口
- dynamic: adj. 1.动力的，动力学的；力学(上)的；动(态)的 ...
- window: n. 1.窗；窗口，窗户；窗扉，窗框；窗玻璃；(商店的) ...
- dynamic child window: 动态子窗口
- dynamic splitter window: 动态拆分窗口; 动态分隔窗口; 动态分隔视窗
- a window: 一扇窗
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dynamic window中文什么意思
- 动态窗口
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例句与用法
- The visual j is a lightweight set of tools for hobbyists , enthusiasts , and students who want to build dynamic windows applications and web sites
Visual j #是一组适用于想生成动态windows应用程序和网站的业余爱好者、热心关注者和学生的轻量级工具。 - State - of - the - art microprocessors exploit instruction level parallelism ( ilp ) to achieve high performance on applications by searching for independent instructions in a dynamic window of instructions and executing them on a wide - issue pipeline
对于当前软件中占主要部分的串行程序而言，微处理器主要依靠开发程序的指令级并行( ilp )来提高性能。 - Different form other sequencing algorithm , the algorithm only need to compute the plane queue in the dynamic window , which is came into being around the new arrival plane . as a result , this algorithm is good at both optimization efficiency and computation
当发生空中交通拥挤时，先在刚到达的飞机的前后建立一个动态排序窗，计算时，只需对窗内的飞机队列进行排序，即只需对与刚到达飞机相关的飞机进行处理。 - Later on , after elaborating the disadvantages of the old methods in detecting and recognizing moving objects , a series of corresponding approaches are proposed , such as grid scan , local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed , maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise , a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera . after that , much emphasis is given on application study in pattern recognition with a feed - forward neural network . both the basic bp algorithm and improved bp algorithm in the study process are described in detail , and the later is used to quicken convergence speed and improve validity of the network
然后，分析和阐明了传统的运动目标检测方法的不足，并在此基础上结合研究中的实际实验环境，提出了一系列解决方法，包括针对降低庞大数据量而提出的网格扫描、局部“跟虫”追踪和动态窗口扫描等目标检测方法，针对实验环境中光照不均和颜色干扰提出基于人机交互的最大最小值阈值选取方法和引入改进的rgb模型到hsv模型的转换方法，为消除图像畸变对识别精度的恶劣影响而采用的通过控制点进行双线性插值进行畸变校正的方法；紧接着，概述了神经网络的发展历史和几种常用神经网络模型的特点，重点研究了前馈型神经网络在模式识别中的应用问题，详细阐述了基本的bp算法和学习过程中bp算法的改进，从而使网络收敛速度更快，解决问题更有效，并在此基础上，设计了一个基于bp神经网络的运动目标识别系统，给出了实验结果。