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cfj
此程序为工程应用中的平面四边形八节点等参数单元，较为简单(This program for engineering applications in flat quadrilateral eight-node parameters such as units, a relatively simple)
- 2011-07-19 20:08:56下载
- 积分：1
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conv1d
this is a program animation in matlab for i dimensional convolution it is used to understand convolution effectivly
- 2012-06-06 01:20:51下载
- 积分：1
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fast_cs_SRM
This package implements fast compressed sensing using structurally random matrices (SRM) described in [1] and [2]. As the package is still under development any comments or bug reports are highly welcome.
- 2014-12-17 19:21:32下载
- 积分：1
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mech_transmission
双离合变速器，主要是对变速箱进行simulink仿真，模拟动力传输路径(DCT transmission)
- 2015-11-22 22:27:59下载
- 积分：1
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一个双向LSTM程序 BiLSTM
说明： 一个双向LSTM程序
Long Short Term 网络—— 一般就叫做 LSTM ——是一种 RNN 特殊的类型，可以学习长期依赖信息。LSTM 由Hochreiter & Schmidhuber (1997)提出，并在近期被Alex Graves进行了改良和推广。在很多问题，LSTM 都取得相当巨大的成功，并得到了广泛的使用。
LSTM 通过刻意的设计来避免长期依赖问题。记住长期的信息在实践中是 LSTM 的默认行为，而非需要付出很大代价才能获得的能力！
所有 RNN 都具有一种重复神经网络模块的链式的形式。在标准的 RNN 中，这个重复的模块只有一个非常简单的结构，例如一个 tanh 层。(A bidirectional LSTM program
Long short term network, commonly known as LSTM, is a special type of RNN that can learn long-term dependent information. LSTM was proposed by Hochreiter & schmidhuber (1997) and recently improved and promoted by Alex graves. In many problems, LSTM has achieved great success and has been widely used.
LSTM is designed to avoid long-term dependency. Remember that long-term information is the default behavior of LSTM in practice, not the ability to acquire it at a great cost!
All RNNs have a chained form of repetitive neural network modules. In the standard RNN, this repetitive module has only a very simple structure, such as a tanh layer.)
- 2021-04-21 22:08:49下载
- 积分：1
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plotAcquisition
matlab program for plotting the acquisition graph
- 2014-09-24 13:32:10下载
- 积分：1
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dlda30
matlab code for machine learn duda
- 2014-09-25 19:27:29下载
- 积分：1
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grs
理查德森迭代法，最基础的迭代方法之一。之后会补充高斯和雅阁比、(richardson function)
- 2012-01-19 00:58:39下载
- 积分：1
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Iot-positioning-simulation
RSSI算法是指根据无线传感器接受到（目标物体）的信号指示强度，计算该信号在传播中的损耗，根据理论或者经验的信号传播模型将信号强度转换成距离。但是这种算法很容易受到天气，障碍物或人员流动的影响，导致测距不精确，从而定位精度不高。但是由于RSSI算法简单，成本低廉，很多无线通信模块提供RSSI值，所以RSSI算法依然应用在众多领域中。(RSSI algorithm is based on wireless sensor to receive the signal intensity (objects), calculate the signal in the transmission loss, according to the experience of the theory or the signal propagation model will be converted into a distance of signal strength.But this algorithm is very vulnerable to weather, obstacles or the influence of the flow of people, lead to range is not accurate, thus positioning accuracy is not high.But because the RSSI algorithm is simple, low cost, a lot of wireless communication module provides RSSI values, so the RSSI algorithm is used in many fields.)
- 2016-04-26 23:03:44下载
- 积分：1
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sintesizer
Prototype Synthesizer Reconstruct one signal using FFT
- 2013-05-11 00:37:08下载
- 积分：1
