-
Solution-of-equation11
很多解方程的经典matlab例程,欢迎有需要的童鞋来下载~~~·(Solving equations matlab many classic routines, welcomed the children s shoes need to download ~ ~ ~*)
- 2011-05-12 11:26:43下载
- 积分:1
-
pcf7930_31_35__memory_organization
PCF transponders memory maps.
- 2014-09-17 05:42:10下载
- 积分:1
-
standard-PSO
标准粒子群优化算法Matlab 源代码 放心可用(PSO ALGORITHM matlab)
- 2013-10-13 10:56:18下载
- 积分:1
-
fanjie
并联机器人运动学计算,包括各个支腿的位移变化,速度变化,加速度变化曲线(Kinematics calculations, including the displacement of each leg, speed change, acceleration curve)
- 2013-09-16 10:28:13下载
- 积分:1
-
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
-
IRIS-SEGMENT
WORKING CODE FOR IRIS SEGMENTATION
- 2012-04-18 15:25:11下载
- 积分:1
-
VSS&SM_code
说明: 变步长仿射自适应滤波器(VSS-APA)和集员仿射自适应滤波器(SM-APA-U)的MATLAB代码 里面包含两个自适应滤波器的性能分析和评价指标(The matlab code of variable step size affine adaptive filter (vss-apa) and set member affine adaptive filter (sm-apa-u) contains the performance analysis and evaluation indexes of two adaptive filters)
- 2020-01-10 22:57:53下载
- 积分:1
-
FastNN
简单快速近邻算法是一种典型的模式识别方法:在二维平面一矩形范围内随机产生训练样本,任意划分为三个区域,用快速近邻法确定待识别实验样本的所属分类。(Simple and fast nearest neighbor algorithm is a typical pattern recognition methods: randomly generated training samples in a rectangular range of two-dimensional plane, arbitrarily divided into three regions to determine the unknown experimental samples of Class fast nearest neighbor.)
- 2012-05-14 16:05:06下载
- 积分:1
-
matlab
简单的if else,和switch分支的小程序,希望大家谅解(Simple if else, and switch branches applet, I hope you understand)
- 2013-05-22 15:10:36下载
- 积分:1
-
LMS_RLS_AFA
matlab code for least mean square filter
- 2012-04-18 03:19:32下载
- 积分:1