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exam5_1
在matlab环境下利用有限元分析方法，采用四面体单元计算单向拉伸杆的横截面应力(In the matlab environment using finite element analysis, calculated using one-way stretch rod tetrahedral unit cross-sectional stress)
- 2011-08-07 12:42:26下载
- 积分：1
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MT1D_forward_jiexi
地球物理大地电磁测深一维正演，是求解析解(magnetotelluric 1D forward)
- 2020-11-24 13:59:33下载
- 积分：1
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DS-SSBPSKcommunicatonsystem
simulate the performance
of a DS-SS/BPSK communication system in the following scenarios:
1. In the AWGN channel
2. In the presence of pulsed noise jamming and AWGN(simulate the performance of a DS-SS/BPSK communication system in the following scenarios: 1. In the AWGN channel 2. In the presence of pulsed noise jamming and AWGN)
- 2009-03-21 14:28:41下载
- 积分：1
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hybrid
Simulation of continuous-time system and digital controller
- 2014-09-05 23:10:34下载
- 积分：1
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chap_10
matlab从入门到精通第9章书后源码对初学者很有帮助(matlab)
- 2009-03-19 06:14:46下载
- 积分：1
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3380-11801-1-PB
A multi-view image rectification algorithm for matrix camera arrangement
- 2014-08-21 12:39:42下载
- 积分：1
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MATLABoftargettracking
目标跟踪仿真小程序，本程序简单易懂适合初学者学习和参考。(Small target tracking simulation program, the program simple and easy to understand for beginners learning and reference.)
- 2015-03-12 09:51:44下载
- 积分：1
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1807.01622
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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wltsvm
加权最小二乘双支持向量机算法应用实例，作为学习双支持向量机的例子应用(Weighted least squares double support vector machine)
- 2021-01-19 10:28:42下载
- 积分：1
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Matlab-Basics
matlab basics include the vector arrays, matrix manupulation, inputs and outputs and plotting in general and 2d and functions & Iterations
- 2012-05-06 10:44:02下载
- 积分：1
