He was there until the end of 1984, studying and tracking jaguars and learning about how they lived and what was posing a threat to them.
Rabinowitz在那儿一直待到了1984年底，追踪美洲豹的行踪，了解他们的生活习性并研究威胁美洲豹生存的因素。
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.
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。
B-spline Learning Feed-Forward control (LFFC) is a control strategy to obtain accurate tracking and is subject to reproducible disturbances.
样条学习前馈控制(LFFC)是一种在被控系统不能精确建模时仍能保证跟踪性的控制方法。
This system was composed by multiple modules, including data communication module, schedule setup module, self-learning module, rolling piece tracking module and data management module, etc.
系统由数据通讯模块、模型设定模块、模型自学习模块、轧件跟踪模块、数据管理模块等多个模块组成。
The self-organizing neural network is introduced simply here. In connection with the concrete problem of seismic event tracking, we design a corresponding learning method.
文中简单地介绍了自组织神经网络，并针对地震同相轴追踪这一具体问题，设计了相应的学习方法。
Iterative learning control is an effective technique for improving the tracking performance of systems that execute the same trajectory motion again and again.
对于完成重复轨迹跟踪任务的系统，迭代学习控制是一种能有效地改进其跟踪性能的技术。
This method adopts the idea of increment learning, and presents new algorithm to the adaptive learning mechanism in the task of topic tracking.
该方法采用增量学习的思想，对话题追踪任务中的自适应学习机制提出了新的算法。
A new iterative learning control (ILC) updating law is proposed for the tracking control of continuous linear system over a finite time interval.
提出了一个新的迭代学习控制(ilc)更新律用于连续线性系统的有限时间区间跟踪控制。
A novel repetitive learning control method is proposed for the tracking or rejection of unknown periodic reference or disturbance with a known period.
为跟踪或抑制仅周期已知的未知周期参考或扰动信号，提出一种新的重复学习控制方法。
Based on the idea of increment learning, the paper presents a new algorithm for the adaptive learning mechanism in the task of topic tracking.
该方法采用增量学习的思想，对话题追踪任务中的自适应学习机制提出了新的算法。
Iterative learning control is applied to the design of excitation controller, and a new method is proposed. The restriction of perfect tracking in limited time span is removed.
将迭代学习控制理论应用于励磁控制器的设计中，提出了一种新的设计方法，克服了迭代学习控制在有限时间区间上实现完全跟踪的限制。
A neural network controller is designed based on reinforcement learning neural network framework to achieve adaptive control of velocity tracking.
然后基于强化学习神经网络结构设计神经网络控制器以取得车速跟踪的自适应控制。
A periodic mixed adaptive law and an adaptive repetitive learning control one are constructed to ensure the asymptotic convergence of the tracking error in the sense of square error norm.
通过引入参数周期自适应律，设计出的自适应控制策略，使跟踪误差平方在一个周期上的积分范数渐近收敛于零。
Based on neural network and combined with adaptive capability of reinforcement learning, it can execute velocity tracking control through online learning of neural network.
该控制方法基于神经网络并结合强化学习的自适应能力，通过神经网络的在线学习对车速进行跟踪控制。
We demonstrate the method on such diverse tasks as learning complicated background models, visual tracking and object detection.
同时这种方法可应用于背景建模、物体跟踪以及物体检测中。
The results show that the neutral network controller has shelf-learning and self-adaptive functions, and has better control effect in speed tracking, compared with traditional PI controller.
仿真结果表明，相对于常规PI控制器，该神经网络控制器具有自学习，自适应功能，速度跟踪获得了满意的控制效果。
The new learning control rule not only incorporates a state compensation in the conventional ILC formula, but also adopts the wavelet transform to filter learnable tracking errors without phase shift.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
The new learning control rule not only incorporated a state compensation in the conventional ILC formula but also adopted the wavelet transform to filter learnable tracking errors without phase shift.
在新控制算法中，除了在传统算法基础上增加了状态补偿外，还引用了小波变换来对跟踪误差进行了滤波而没有相位补偿。
Iterative learning control is one kind of control methodology effectively dealing with repeated tracking control problems or periodic disturbance rejection problems.
迭代学习控制是一种能有效处理重复性跟踪问题或周期性干扰抑制问题的控制方法。
The main contributions of this paper are listed as follows. (1) An incremental tensor subspace learning based object tracking is presented.
主要研究内容包括：(1)提出一种增量式张量子空间学习的目标跟踪算法。
This paper is intended to research the relationship of the depth of vocabulary knowledge and students'productive ability of vocabulary in English learning in terms of one month's tracking test.
本文从三个方面，即词汇量，词汇知识深度，和作文中展现的积极词汇知识，研究英语专业中低年级学生的词汇知识水平，测量经过一年的大学学习，词汇知识的提高程度及三个方面的相互关系。
This paper is intended to research the relationship of the depth of vocabulary knowledge and students'productive ability of vocabulary in English learning in terms of one month's tracking test.
词汇深度知识能够体现学习者词汇知识的质量并关系到二语学习的成败，能够反映二语学习的本质。
This paper is intended to research the relationship of the depth of vocabulary knowledge and students'productive ability of vocabulary in English learning in terms of one month's tracking test.
词汇深度知识能够体现学习者词汇知识的质量并关系到二语学习的成败，能够反映二语学习的本质。
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