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deep learning一般是学习的层次结构，它也是有一定理论依据的，即模拟人脑的大脑皮层工作，因为大脑皮层的视觉区域也是分层次工作的，越底层的视觉皮层对那些底层特征就越敏感。综上所述，feature learning有这么多应用需求的驱动和生物神经理论上的支持，注定它能够在AI领域中发挥一定的作用。一些实验表明，有些feature learning学习到的特征几乎比所有其它的特征效果要好，比如本文中的ISA模型就是其中一个。(deep learning hierarchy of learning, it is also a certain theoretical basis that simulate the human brain' s cerebral cortex, visual areas of the cerebral cortex is hierarchical work, the more the bottom of the visual cortex is more sensitive to those underlying characteristics . In summary, feature learning so many application needs the support of the drive and biological neural theoretically doomed it to be able to play a certain role in the field of AI. Some experiments show that some feature learning learning to feature almost better than all the other features of the effect of the ISA model such as this is one.)

PMSM的电流滞环比较法和ＳＶＰＷＭ法的仿真模型 (PMSM current hysteresis SVPWM method of comparative law and a simulation model)

DOCUMENT FOR BASIC LEARNING OF COMMUNICATION IN VARIOUS ASPECTS.

说明：  桨叶诱导速度随安装角变化规律，桨叶诱导速度随安装角变化规律(matlba MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB MATLAB a b c d e f g h i)

Subdreamer.Pro.2.3.1 完整版,除去SUBDREAMER 补丁(Subdreamer.Pro.2.3.1 full version, remove the patch SUBDREAMER)

全自动测量第二导联ECG数据中的QT间隔，RMS误差为26ms，精确很高。( Fully Automated Method for QT Interval Measurement in ECG)

pfc boost converter single phase

在图像中采用目标模板匹配对目标进行跟踪，跟踪快速稳定，效果很好。(Using the target in the image template matching target tracking, tracking fast and stable, with good results.)

可擴展的OFDMA引擎的WiMAX, 裡頭有詳細的OFDMA 物理層的記述(A Scalable OFDMA Engine for WiMAX)

Simultaneous Displacement Method for a linear equations system