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jiaotongdeng
分东西和南北两个路口模拟交通三色信号灯的亮灭控制(East and West and North-South two intersection points simulated three-color traffic signal control of bright eliminate)
- 2009-12-18 11:34:04下载
- 积分：1
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cal_RCS
利用FDTD算法，计算fopen环境下的雷达散射截面积。(Use FDTD algorithm to calculate fopen environment RCS.)
- 2013-11-12 23:09:07下载
- 积分：1
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batsolarcomb.mdl
说明： MPPT光伏电池仿真，使用simulink的光伏电池仿真，使用降压斩波电路，PI控制器(MPPT battery solar comb)
- 2019-03-13 23:04:20下载
- 积分：1
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new
说明： 齿轮轮齿渐开渐开线，螺旋源程序等，希望对大家有用(Involute gear tooth involute, spiral source in the hope that useful)
- 2011-04-16 09:57:51下载
- 积分：1
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Beam-space-MUSIC-algorithm
波束空间的MUSIC算法，在阵元误差校正和ＤＯＡ估计时很实用～～(Beam space MUSIC algorithm, the array element error correction and DOA estimates very practical ~ ~)
- 2013-11-02 00:06:15下载
- 积分：1
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rbf_1_01
径向基函数网络Matlab源代码 径向基函数网络Matlab源代码 (Radial Basis Function Networks Matlab source code for Radial Basis Function Network Matlab source code)
- 2009-06-28 13:07:52下载
- 积分：1
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design-of-mems-imu-navigation-report
这是国外做得一个课题，后面附有源代码，matlab的代码(This is done abroad, a task attached to the source code, matlab code)
- 2021-04-01 23:09:07下载
- 积分：1
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NumIntTest
加速度振动信号积分为速度振动信号输出，如需要可再一次积分，变换为位移信号(Vibration signal of the acceleration integral transform)
- 2020-11-27 14:29:30下载
- 积分：1
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1807.01622
说明： 深度神经网络在函数近似中表现优越，然而需要从头开始训练。另一方面，贝叶斯方法，像高斯过程（GPs），可以利用利用先验知识在测试阶段进行快速推理。然而，高斯过程的计算量很大，也很难设计出合适的先验。本篇论文中我们提出了一种神经模型，条件神经过程（CNPs），可以结合这两者的优点。CNPs受灵活的随机过程的启发，比如GPs，但是结构是神经网络，并且通过梯度下降训练。CNPs通过很少的数据训练后就可以进行准确的预测，然后扩展到复杂函数和大数据集。我们证明了这个方法在一些典型的机器学习任务上面的的表现和功能，比如回归，分类和图像补全(Deep neural networks perform well in function approximation, but they need to be trained from scratch. On the other hand, Bayesian methods, such as Gauss Process (GPs), can make use of prior knowledge to conduct rapid reasoning in the testing stage. However, the calculation of Gauss process is very heavy, and it is difficult to design a suitable priori. In this paper, we propose a neural model, conditional neural processes (CNPs), which can combine the advantages of both. CNPs are inspired by flexible stochastic processes, such as GPs, but are structured as neural networks and trained by gradient descent. CNPs can predict accurately with very little data training, and then extend to complex functions and large data sets. We demonstrate the performance and functions of this method on some typical machine learning tasks, such as regression, classification and image completion.)
- 2020-06-23 22:20:02下载
- 积分：1
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一个好用的最大似然（ML）准则matlab编程
基于人工神经网络的常用数字信号调制，PLS部分最小二乘工具箱,进行逐步线性回归，实现典型相关分析，添加噪声处理，IDW距离反比加权方法。
- 2022-08-10 20:10:23下载
- 积分：1
