In avoidance learning, employees change their behavior to avoid unpleasant consequences, such as criticism or a poor evaluation.
在回避学习，员工改变他们的行为，以避免不愉快的后果，如批评或一个贫穷的评价。
Goals orientation could be divided into learning goals, performance-approach goals and performance-avoidance goals.
个人目标定向可以区分出学习目标，成绩目标—接近定向和成绩目标—回避定向。
Objective To compare three tests and statistical methods in the measurement sensitivity of learning and memory function in rat by step through avoidance response.
目的为了提高避暗反应测定动物学习记忆功能的敏感性，本实验对三种实验及统计方法进行了评价。
Learning and memory facilitation in mice were studied by one trial passive avoidance response.
采用一次性被动回避反应检测所合成的化合物对小鼠学习记忆能力的影响。
The impairment of learning and memory of lead exposed rats was evaluated by examining the passive avoidance response and conditioned avoidance response.
本实验采用明暗箱被动回避反应和穿梭箱条件性回避反应测定，探讨了铅对大鼠学习与记忆的损害作用。
The reinforcement learning is adopted to control and decision for AUV, and Q-learning, BP neural net, artificial potential is integrated to avoidance planning for AUV.
主要采用强化学习的方法对AUV进行控制和决策，综合Q学习算法、BP神经网络和人工势场法对AUV进行避碰规划。
Several behaviour models such as active avoidance reaction (AAR), once passive avoidance reaction (OPAR), spatial discrimination memory (SDM), were used to research the process of learning and memory.
采用主动回避反应(aar)，一次性被动回避反应(OPAR)，空间分辨记忆(SDM) 3种模式对学习记忆过程进行系统研究。
Step down type passive avoidance test is used to determine the effects of EPN on learning and memory dysfunction induced by scopolamine.
利用东莨菪碱造成小鼠学习记忆障碍，采用小鼠跳台法检测学习记忆功能。
Methods The methods of multiple training active avoidance response that include step-down test, step-through test and water maze for mice were used to observe the effect on learning and memory.
方法采用跳台法、避暗法及水迷路法观察漏芦甾酮总提取物对小鼠学习记忆功能的影响；
A learning approach for the lunar rover's obstacle avoidance is presented.
提出了一种轮式月球车的避障学习方法。
Q learning method is used in intelligence planning path with magnets to achieve the shortest path search, obstacle avoidance, task scheduling and so on.
采用Q学习方法进行磁钉路径的智能规划，实现最短路径寻找，同时解决了任务调度及避障等问题。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
Obstacle avoidance, target approach and their combination behavior learning of evolutionary robot are realized by the use of artificial neural network in this paper.
为了克服传统机器人设计方法存在的局限性 ，提高机器人的自适应能力 ，采用神经网络方法实现了进化机器人避碰、趋近及其组合行为学习 。
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