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TurboCode
ecc verson1.1 the eccpage
- 2009-12-10 23:35:23下载
- 积分：1
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iimage_process
本程序是用自适应遗传算法进行图像增强，其思想来自《计算机学报》发表的论文。(This program is self-adaptive genetic algorithm image enhancement, their thoughts from the " Journal of Computers," published papers.)
- 2009-12-15 15:38:59下载
- 积分：1
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LMS_EQ
最小均方自适应滤波器，是线性自适应滤波算法(LMS adaptive filters, linear adaptive filter algorithm)
- 2006-06-15 21:47:34下载
- 积分：1
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AcousticNoiseCancellationDSKC6713
Matlab with acoutics
- 2013-04-01 16:10:40下载
- 积分：1
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multi-degree-of-freedom-integration-for-str-dyn
multi degree of freedom numerical integration for structural dynamics
- 2013-05-03 04:00:35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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FM
说明： fhase modulation matlab
- 2009-05-29 00:43:55下载
- 积分：1
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biancheng
基于龙格库塔法的Matlab数值积分函数(Based on Runge Kutta method Matlab numerical integral function
)
- 2012-05-03 19:03:40下载
- 积分：1
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MATLAB0002
初学matlab的教程，比较全面，比较实用，此部分为第二部分。(Matlab beginner tutorial, more comprehensive, more practical, this part of the second part.)
- 2013-07-16 22:24:11下载
- 积分：1
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mao_de44
有借鉴意义哦，数据模型归一化，模态振动，最小二乘回归分析算法。( There are reference Oh, Normalized data model, modal vibration, Least-squares regression analysis algorithm.)
- 2017-03-30 22:05:46下载
- 积分：1
