首页 | 本学科首页   官方微博 | 高级检索  
文章检索
  按 检索   检索词:      
出版年份:   被引次数:   他引次数: 提示:输入*表示无穷大
  收费全文   537篇
  免费   216篇
  国内免费   108篇
航空   387篇
航天技术   159篇
综合类   97篇
航天   218篇
  2024年   14篇
  2023年   53篇
  2022年   88篇
  2021年   105篇
  2020年   69篇
  2019年   62篇
  2018年   27篇
  2017年   26篇
  2016年   23篇
  2015年   22篇
  2014年   29篇
  2013年   32篇
  2012年   36篇
  2011年   42篇
  2010年   26篇
  2009年   25篇
  2008年   19篇
  2007年   27篇
  2006年   34篇
  2005年   17篇
  2004年   18篇
  2003年   11篇
  2002年   4篇
  2001年   5篇
  2000年   9篇
  1999年   7篇
  1998年   9篇
  1997年   7篇
  1996年   2篇
  1995年   2篇
  1994年   4篇
  1993年   3篇
  1992年   1篇
  1991年   3篇
排序方式: 共有861条查询结果,搜索用时 62 毫秒
101.
元强化学习是指自动从一组相关任务中学习强化学习所需归纳偏置的相关理论和方法,对于提高强化学习算法在困难场景下的样本效率和泛化能力具有重要用途。本文提出一种新的元强化学习框架,指出设计和分析一个元强化学习算法需要同时考虑学习经验(相关任务)、归纳偏置及学习目标3个独立因素及这3个因素之间的依赖关系。在此基础上对该领域的研究现状进行了分析和总结,特别对近年来元强化学习若干文献进行了分析和归类,并详细阐述了几种代表性算法的原理及各自特点。本文还对元强化学习常用的实验环境和性能评价方法进行了介绍,对该领域的不足和未来的发展方向进行了讨论和分析。  相似文献   
102.
Abstract

Human navigation in an unknown environment requires an understanding of the spatial relationships of the terrain. For example, a soldier who is on a reconnaissance mission in a new city needs to “know” the spatial layout of the surroundings with high confidence. Oftentimes, this understanding must be acquired within a very short amount of time and with limited sensory inputs. The soldier would benefit from a digital avatar that draws inferences about the spatial layout of the city based on an initial set of observations and guides the soldier either in further exploring the environment or in making decisions based on these inferences. In this paper, we present and evaluate an inductive approach to learning spatial associations using sensory data that is available from the simulation environment of a computer game, Unreal Tournament. We study two kinds of spatial relationships between nodes on a level of a game map: nodes that are placed near each other to satisfy some spatial requirement and nodes that are placed near each other to satisfy the design preferences of a level architect. We show that we can infer both kinds of relationships using an association rule mining algorithm. Furthermore, we show how to use an ontology to distinguish between these relationships in order to discover different types of spatial arrangements on a specific map. We discuss how the inferred associations can be used to control an avatar that makes recommendations for navigating unexplored areas on a map. We conclude with some thoughts on the applicability of our methods to scenarios in the real world, beyond the simulation environment of a game, and on how the learned associations can be represented and queried by a simple question-answer type system.  相似文献   
103.
目的探索构建校内生产性实训基地;方法以飞机结构腐蚀与控制实训平台的建设为例;结果阐述校内实现以产学研相结合模式来进行实训平台建设;结论对其它机务维修专业课程的实训平台建设起到引导的作用。  相似文献   
104.
This article presents the results of a questionnaire study on the role of the mother tongue in English class. The participants were 50 students and 10 teachers. The goal of the study was to investigate (1) the attitudes of both teachers and students towards the use of Chinese; (2) the actual and potential function of Chinese in English class. The results of this study indicate that Chinese was still quite extensively used in English class,that both the teachers and the students respond positively to a reaso...  相似文献   
105.
词汇学习是我国大学生英语学习的重点以及难点,传统的机械性背记方法耗时多,收效少。就提高我国大学生英语词汇学习效率这一问题,从认知语言学的原型理论出发,为我国大学生学习词汇提供了更科学,更高效的学习方法。  相似文献   
106.
Abstract

Active exploration is reportedly better than passive observation of spatial displacements in real environments, for the acquisition of relational spatial information, especially by children. However, a previous study using a virtual environment (VE) showed that children in a passive observation condition performed better than actives when asked to reconstruct in reality the environment explored virtually. Active children were unpractised in using the input device, which may have detracted from any active advantage, since input device operation may be regarded as a concurrent task, increasing cognitive load and spatial working memory demands. To examine this possibility, 7–8-year-old children in the present study were given 5 minutes of training with the joystick input device. When compared with passive participants for spatial learning, active participants gave a better performance than passives, placing objects significantly more accurately. The importance of interface training when using VEs for assessment and training was discussed.  相似文献   
107.
A fast feature ranking algorithm for classification in the presence of high dimensionahty and small sample size is proposed. The basic idea is that the important features force the data points of the same class to maintain their intrinsic neighbor relations, whereas neighboring points of different classes are no longer to stick to one an- other. Applying this assumption, an optimization problem weighting each feature is derived. The algorithm does not involve the dense matrix eigen-decomposition which can be computationally expensive in time. Extensive exper- iments are conducted to validate the significance of selected features using the Yale, Extended YaleB and PIE data- sets. The thorough evaluation shows that, using one-nearest neighbor classifier, the recognition rates using 100-- 500 leading features selected by the algorithm distinctively outperform those with features selected by the baseline feature selection algorithms, while using support vector machine features selected by the algorithm show less prominent improvement. Moreover, the experiments demonstrate that the proposed algorithm is particularly effi- cient for multi-class face recognition problem.  相似文献   
108.
刘芳  王洪娟  黄光伟  路丽霞  王鑫 《航空学报》2019,40(3):322332-322332
针对无人机(UAV)视频中目标易受到遮挡、形变、复杂背景干扰等问题,提出一种基于自适应深度网络的无人机目标跟踪算法。首先,基于主成分分析(PCA)和卷积神经网络(CNN)算法,设计3阶的自适应深度网络进行目标特征提取,该网络对图像的H、S、I通道分别进行主成分分析学习,将得到的特征向量输入网络进行分层卷积,优化了网络结构,提高了网络的收敛速度和精度。其次,将目标深度特征输入核相关滤波算法进行目标跟踪,通过分析相邻2帧图像的变化率,采用分段自适应调整学习率的算法进行目标模板更新,有效地改善目标遮挡问题。仿真实验结果表明,该算法有效地避免了复杂因素干扰导致的跟踪精度下降,具有较好的鲁棒性,相较于全卷积跟踪(FCNT)算法平均跟踪精度提高了9.62%,平均跟踪成功率提高了11.9%。  相似文献   
109.
During predation, a flying insect can form a stealth flight path. This behavior is called motion camouflage. Based on the study results of this behavior, the perception and neurology of flying insects, a novel bio-inspired guidance law is proposed for the terminal guidance for small aerial vehicle with charge-coupled device imaging seekers. The kinematics relationship between a small aerial vehicle and target is analyzed, and a two-dimensional guidance law model is established by using artificial neural networks. To compare with the proportional guidance law, the numerical simulations are carried out in the vertical plane and in the horizontal plane respectively. The simulation results show that the ballistic of the small aerial vehicle is straighter and the normal acceleration is smaller by using the bio-inspired guidance law than by using the proportional guidance law. That is to say, the bio-inspired guidance law just uses the information of the target from the imaging seeker,but the performance of it can be better than that of the proportional guidance law.  相似文献   
110.
顾乃建  武文华  郭杏林 《宇航学报》2022,43(12):1618-1628
针对于星-箭连接动态界面力无法通过力传感器直接测量,且典型时域动载反演方法难以准确计算界面力的时域变化等难点,提出了基于长短时记忆(LSTM)神经网络的星-箭界面力深度学习反演方法。首先通过卫星地面测试试验得到数据依据,以卫星主体结构的加速度测量数据为输入层,以星-箭界面力测量数据为输出层,利用LSTM神经网络建立输入和输出间的反演映射关系模型,实现卫星在发射过程中较高精度的界面力反演。进而,设计并开展了某典型卫星结构的正弦扫频和随机振动实验,测试LSTM界面力反演方法的可行性。结果分析可知,所提出的基于LSTM深度学习反演方法能够精确地获得动态界面力时程数据,两项性能指标均优于目前典型的载荷反演方法。  相似文献   
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号