研究性学习模式在英语教学中的应用

研究性学习就是在教学过程中创设一种类似科学研究的情境与途径,让学生主动地探索、发现和体验,学会对大量信息进行收集、分析、判断,从而增强思考力和创造力。研究性学习不仅重视学生知识的获取,更重视学生掌握知识的过程。这里简要介绍了研究性学习的实践价值,以及笔者在英语教学中开展研究性学习的探讨与实践。     

论高职学生英语学习心理优势的培养

通过对高职学生英语成绩和学习状况的分析、调查以及针对学生的特殊性，强调了建立高职院校学生英语学习心理优势的必要性，并详细地论述了实现这一目标的相应教学策略。     

A novel visual attention method for target detection from SAR images

Synthetic Aperture Radar(SAR) imaging systems have been widely used in civil and military fields due to their all-weather and all-day abilities and various other advantages. However, due to image data exponentially increasing, there is a need for novel automatic target detection and recognition technologies. In recent years, the visual attention mechanism in the visual system has helped humans effectively deal with complex visual signals. In particular, biologically inspired top-down attention models have garnered much attention recently. This paper presents a visual attention model for SAR target detection, comprising a bottom-up stage and top-down process.In the bottom-up step, the Itti model is improved based on the difference between SAR and optical images. The top-down step fully utilizes prior information to further detect targets. Extensive detection experiments carried out on the benchmark Moving and Stationary Target Acquisition and Recognition(MSTAR) dataset show that, compared with typical visual models and other popular detection methods, our model has increased ability and robustness for SAR target detection, under a range of Signal to Clutter Ratio(SCR) conditions and scenes. In addition, results obtained using only the bottom-up stage are inferior to those of the proposed method, further demonstrating the effectiveness and rationality of a top-down strategy. In summary, our proposed visual attention method can be considered a potential benchmark resource for the SAR research community.     

一种自信学习自动机

提出一种二次不动—惩罚变结构随机自动机模型（Q(IP)）。较之于其线性形式（L(IP)），新模型的学习带有一定的自信（当然，有时也可能是自负）。特别，跟传统自动机不同的是，新算法的极限行为同时兼具吸收壁和遍历性。     

网络环境下大学生英语学习动机与成绩相关性研究

根据学习动机理论和建构主义的网络学习理论，以西北工业大学大二的英语网络班学生为对象，通过问卷调查的手段，结合四级成绩和最近一次的期末考试成绩对英语网络班学生的学习动机进行了分析，并探讨了英语网络学习环境下学生英语学习动机和英语成绩之间的关系，了解了网络教学过程中学生的非智力因素状况，为今后的教学活动提供参考。     

Unmixing method for hyperspectral data based on sub-space method with learning process

An unmixing method for hyperspectral Earth observation satellite imagery data is proposed. It is based on a sub-space method with learning process. The proposed method utilizes a sub-space for feature space during unmixing. It is used to be done in a feature space which consists of spectral bands of observation vectors. As the results from the experiments with airborne based hyperspectral imagery data, AVIRIS, it is found that the proposed unmixing is superior to the other existing method in terms of decomposition accuracy and the process time required for the decompositions.     

从高职生工作后适应性学习方式谈教学改革

高职高专毕业生毕业后往往还要经过适应性的学习，才能进入工作角色。适应性的学习方式不仅是高职高专毕业生生存和发展的必然，也为高职高专院校现行的教学方法提供了改革的依据。     

对大学生高等数学学习困难的思考

针对大学生高等数学课程学习困难的原因进行分析 ,结合教学实际提出搞好初、高等数学的衔接 ,加强高等数学概念教学和帮助学生树立正确的学习观 ,是改变学生学习高等数学困难的有效途径     

基于信任域策略优化的末制导控制量学习算法CSCD

近年来,深度强化学习在解决序列决策问题上取得了很大进展,无模型强化学习算法在与环境不断交互的过程中学习策略,不需要提前对环境建模,使其适用于许多问题。针对以往使用强化学习进行末制导策略学习的训练不稳定问题,使用信任域策略优化算法直接学习末制导控制量,同时设计了一种新颖的奖励函数,可以提高训练稳定性和算法性能。在二维环境下进行了实验,结果表明,该算法具有良好的训练稳定性,并可以达到很好的命中效果。     

基于模仿强化学习的固定翼飞机姿态控制器

研究了基于模仿强化学习的飞机姿态控制器。首先,建立专家经验数据集,并利用行为克隆对控制网络参数初始化;而后,控制网络利用强化学习和监督学习混合模式训练,通过奖励函数塑形和经验数据集监督学习引导强化学习算法快速收敛,使姿态控制器姿态响应优化的同时符合专家经验。控制网络输入为飞机姿态角误差、角速度等状态变量,输出控制增稳系统指令。实验表明,模仿强化学习控制器能够实现不同初始条件下飞机姿态角快速响应并与经验数据相符。