全文获取类型
收费全文 | 271篇 |
免费 | 53篇 |
国内免费 | 56篇 |
专业分类
航空 | 214篇 |
航天技术 | 82篇 |
综合类 | 28篇 |
航天 | 56篇 |
出版年
2024年 | 3篇 |
2023年 | 4篇 |
2022年 | 11篇 |
2021年 | 18篇 |
2020年 | 19篇 |
2019年 | 18篇 |
2018年 | 17篇 |
2017年 | 16篇 |
2016年 | 24篇 |
2015年 | 9篇 |
2014年 | 21篇 |
2013年 | 23篇 |
2012年 | 14篇 |
2011年 | 28篇 |
2010年 | 22篇 |
2009年 | 12篇 |
2008年 | 15篇 |
2007年 | 8篇 |
2006年 | 13篇 |
2005年 | 12篇 |
2004年 | 8篇 |
2003年 | 7篇 |
2002年 | 8篇 |
2001年 | 6篇 |
2000年 | 3篇 |
1999年 | 3篇 |
1998年 | 10篇 |
1997年 | 6篇 |
1996年 | 5篇 |
1995年 | 1篇 |
1994年 | 5篇 |
1993年 | 2篇 |
1992年 | 3篇 |
1991年 | 2篇 |
1990年 | 1篇 |
1989年 | 2篇 |
1988年 | 1篇 |
排序方式: 共有380条查询结果,搜索用时 15 毫秒
61.
62.
63.
研究了一种基于深度强化学习理论的制导控制一体化算法。不同于传统的制导控制一体化算法和制导控制回路分开设计的方法,基于深度强化学习理论的制导控制一体化算法利用深度学习强化算法生成一个智能体,智能体根据导弹的观测量生成舵偏角控制指令准确拦截目标。首先将制导控制问题转化为一个马尔可夫决策过程,然后提出了一个权衡制导精度、能量损耗和飞行时间的奖励函数,将制导控制问题转化到强化学习问题的框架中。最后采用深度确定性策略梯度算法,求解提出的强化学习问题,训练得到制导控制智能体,智能体根据导弹观测量生成舵偏角指令。通过进行大量的数值模拟,验证了提出的制导控制一体化算法的有效性和鲁棒性。 相似文献
64.
65.
《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2023,71(6):2535-2549
For objects in the low Earth orbit region, uncertainty in atmospheric density estimation is an important source of orbit prediction error, which is critical for space traffic management activities such as the satellite conjunction analysis. This paper investigates the evolution of orbit error distribution in the presence of atmospheric density uncertainties, which are modeled using probabilistic machine learning techniques. The recently proposed “HASDM-ML,” “CHAMP-ML,” and “MSIS-UQ” machine learning models for density estimation (Licata and Mehta, 2022b; Licata et al., 2022b) are used in this work. The investigation is convoluted because of the spatial and temporal correlation of the atmospheric density values. We develop several Monte Carlo methods, each capturing a different spatiotemporal density correlation, to study the effects of density uncertainty on orbit uncertainty propagation. However, Monte Carlo analysis is computationally expensive, so a faster method based on the Kalman filtering technique for orbit uncertainty propagation is also explored. It is difficult to translate the uncertainty in atmospheric density to the uncertainty in orbital states under a standard extended Kalman filter or unscented Kalman filter framework. This work uses the so-called “consider covariance sigma point (CCSP)” filter that can account for the density uncertainties during orbit propagation. As a test-bed for validation purposes, a comparison between CCSP and Monte Carlo methods of orbit uncertainty propagation is carried out. Finally, using the HASDM-ML, CHAMP-ML, and MSIS-UQ density models, we propose an ensemble approach for orbit uncertainty quantification for four different space weather conditions. 相似文献
66.
《Advances in Space Research (includes Cospar's Information Bulletin, Space Research Today)》2020,65(6):1607-1614
In this paper, we extend the stability analysis of cold sharp shear flows to warm astrophysical cases with, inevitable, gradual velocity gradient in the interface region in the presence of viscosity effect. Using linear perturbation theory as well as the local approximation method, the instability growth rate of the excited electromagnetic modes has been investigated for the relativistic and non-relativistic cases of solar wind interacting with interstellar plasma medium. Results show that astrophysical shear systems with a small velocity gradient in the transition region are more stable rather than larger ones. Moreover, dependent on the viscosity coefficient value, the viscosity effects could have a positive role on the instability growth rate of the system in some range of initial bulk velocity, while it plays a destructive role in other velocity ranges. 相似文献
67.
68.
采用抛物化稳定性方程的新方法研究稳定性的非平行问题,其控制方程从涡量形式的N-S方程导出,为提高计算精度和收敛速度,在法向采用高精度的高阶谱方法,结合边界层特征安排边界条件的方程,以及对无限区域数值问题作高效的代数变换处理,通过对预估校正迭代过程中推进步长有效的控制,以满足正规化条件,研究了不同类型压力梯度对稳定性的作用,由系列算例得到的增长率变化曲线和扰动中性曲线等,精确地给出了非平行性对流动稳定性的影响,计算的结果与相关数据符合甚好。 相似文献
69.
We propose a technique based on the natural gradient method for variational lower bound maximization for a variational Bayesian Kalman filter. The natural gradient approach is applied to the Kullback-Leibler divergence between the parameterized variational distribution and the posterior density of interest. Using a Gaussian assumption for the parametrized variational distribution, we obtain a closed-form iterative procedure for the Kullback-Leibler divergence minimization, producing estimates of... 相似文献
70.