signal learning

美 [ˈsɪɡnəl ˈlɜːrnɪŋ]英 [ˈsɪɡnəl ˈlɜːnɪŋ]
  • 网络信号学习;号学习
signal learningsignal learning
  1. Termination Decision Analysis for Venture Capital based on Signal Learning

    基于信号学习的风险投资中止决策分析

  2. Study on the termination decision based on emerging technology firm 's signal learning

    基于新兴技术企业信号学习的中止决策分析

  3. The signal pattern is learning . It 's evolving on its own . And you need to move past Fourier transfers and start considering quantum mechanics .

    这个讯号有学习能力,它能自我演进,我们必须放弃傅里叶转换法,开始考虑量子力学

  4. The immediate-early genes such as c-fos and c-jun participate in the signal transduction of learning and memory in the marginal division .

    而且,即刻早期基因c-fos,c-jun涉及边缘区内学习记忆的信号转导过程。但边缘区在参与学习记忆过程中还启动了其他哪些中间环节?

  5. In the behavior learning process of a robot , it is difficult to achieve a teaching signal for supervised learning , so reinforcement learning is attempted to deal with the behavior learning of a multi-robot system .

    在机器人行为学习过程中,难于得到比较理想的监督学习的教师信号,因此该文尝试采用强化学习方法来解决多机器人的行为学习问题。

  6. Blind Signal Separation with Adaptive Learning Rate

    基于步长自适应的盲信号分离

  7. If this system applies to railway signal of training and learning , it will receive a good training effect .

    已将该系统用于铁路信号的实际培训中,收到了良好的培训效果。

  8. The understanding and interpretation of SAR images belong to image processing which involves signal processing , machine learning and pattern recognition and so many subjects .

    对SAR图像的理解和解译属于图像处理范畴,还涉及到了信号处理,机器学习及模式识别等众多学科。

  9. However , in recent years , sparse representation has been demonstrated to provide new research ideas for signal processing and machine learning . The theory about sparse representation has improved over time and researchers pay more attention to its application .

    然而近年来,稀疏表示算法为信号处理和机器学习等研究方向提供了新的研究思路,其理论研究已日臻成熟,尤其在应用上受到广泛关注。

  10. The core issue of blind signal extraction is the learning algorithm about separation or solution of mixing matrix and it belongs to unsupervised machine learning . It draws out the statistically independent characteristics without the loss of information .

    盲信号抽取的核心问题是一种分离或解混合矩阵的学习算法,属于无监督的机器学习,在尽量不丢失信息的前提下抽取其中统计独立的特征。

  11. In the past few years , SR has proven to be an extremely powerful tool for acquiring , representing , and compressing high-dimensional signals and has been successfully applied to solve many practical problems in fields of signal processing , machine learning , and pattern recognition .

    在过去几年里,SR已被证明在获取、表征和压缩高维信号方面是一个非常强大的工具,并已成功用于解决信号处理、机器学习和模式识别领域中的诸多实际问题。

  12. AIM : To investigate the effect of PKA CREB signal transduction during spatial learning and memory in the marginal division ( MrD ) of the rat striatum , and probe into the possible relationship between PKA and CREB during spatial learning and memory .

    目的:观察PKA-CREB信号通路在大鼠纹状体边缘区空间学习记忆过程中的作用,以及在学习记忆过程中PKA及CREB之间的可能关系。