资源列表
发给各中心通知
- CNN is one of the most successful deep learning methods due to its remarkable performance on ImageNet large-scale visual recognition competition. The success of CNN is due to its capacity to learn hierarchical representation to describe the image
ERA
- 模态参数识别。特征实现算法era，输入响应信号，输出模态参数(Modal parameter identification)
Raman_sensingsweeps
- raman scattering sweep vpi file
vpi_issue
- vpi photonics toolbox issues
10GNRZ_optimization
- vpi photonics file 10 G NRZ optimization
rerererererepam4simulationissues
- vpi support files vpi photonics tool
iouyap-0.95
- do not use this file furzy code inside
bin
- 交通流仿真 元胞自动机 用于学习与继续开发(Traffic flow simulation cellular automata)
mppt_disturb_s
- 用S函数实现的电导增量法，可以对方便修改为变步长电导增量法(S function realization of conductance increment method)
变步长扰动观察法
- 利用S函数实现的变步长电导增量法，需要和模型结合(The variable step length conductance increment method realized by S function needs to be combined with the model)
temexd_mod
- Tested using MATLAB/Simulink release R2014b. Extent of compatibility with older releases is unknown.
stability_lobe
- 用于铣削动力学建模的稳定性叶瓣图分析（全离散法）(The full discrete method is used to map the stability lobe)