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采用以下四种格式：中心差分、一阶迎风、混合格式和QUICK格式对一维稳态无源项的对流-扩散方程进行求解(The following four formats: central difference, the first order upwind, QUICK format mixed formats and one-dimensional steady-state passive entry of convection- diffusion equations were solved)

FUZZY CONTROLLER BASED DVR TO MITIGATE POWER QUAITY AND REDUCE THE HARMONICS DISTORTION OF SENSITIVE LOAD

实现MUSIC算法的MATLAB仿真,实现波达方向的估计(MUSIC algorithm to achieve the MATLAB simulation, the realization of the estimated DOA)

该程序实现了二值图像的细化，处理效果较好，适用于初学者(The program achieved the binary image of the refinement, handling is better for beginners)

this matlab toolbox which is used for aptimization

图片识别，能够识别图片的信息然后摘取处理(Image recognition)

关于飞行器制导控制方面比较全面的仿真源代码，其中包括飞行器三自由度和六自由度仿真，单次仿真和蒙特卡洛仿真，EKF算法和UKF算法仿真等等。(On aircraft guidance control more comprehensive simulation source code, including aircraft and six degrees of freedom simulation of three degrees of freedom, a single simulation and Monte Carlo simulation, EKF and UKF algorithm simulation algorithms and so on.)

使用matlab语言，实现列主元消去法解线性方程组，这是一个较好的程序(It is a good procedure that using matlab language to solve the math problem.It make the problem to be easy.)

Matlab工具包，包含了支持向量机和核函数的工具包，可直接调用(Matlab toolkit, including support vector machine SVM and kernel function tool kit, can be called directly )

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.)