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Matlab_tutorial
说明： 适合于数学建模的系统教程,介绍了系统模型及转换,系统时间响应和动态仿真等,并配合程序设计(Suitable for mathematical modeling of systems curricula, introduce the system model and conversion, system time response and dynamic simulation and so on, and in line with the program design)
- 2008-09-24 10:12:44下载
- 积分：1
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Fourth-order-runge-kutta-formula
四阶龙格库塔公式代码 控制水箱的程序，方便简单(Fourth-order Runge-Kutta formula code control tank program, convenient and simple)
- 2013-11-08 14:48:36下载
- 积分：1
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AHP
层次分析法的自动实现算法基于matlab，代码如文件(Automatic algorithm based on the Analytic Hierarchy Process matlab, code such as file)
- 2012-11-10 10:27:41下载
- 积分：1
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SAN3
thnx for ur concern which helps me out simulink problems
- 2015-04-05 17:07:13下载
- 积分：1
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steepest_descent
Numerical optimization, Steepest descent
- 2010-05-12 14:36:26下载
- 积分：1
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gabp
数据处理matlab中关于gapp算法的代码(About gapp algorithm in matlab code)
- 2014-09-21 12:50:18下载
- 积分：1
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CBMM1D
一维配点型无网格法matlab程序 可参见张雄无网格专著(One-dimensional distribution point type meshless method matlab program can be found in Zhang Xiong grid monograph)
- 2013-04-29 17:59:10下载
- 积分：1
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aco
蚁群算法ACO的应用，包括图像匹配，边缘检测，点检测，以及遗传算法GA(ACO ACO algorithm applications, including image matching, edge detection, detection, and genetic algorithm GA)
- 2014-05-20 21:25:21下载
- 积分：1
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RA+网络编码
说明： 网络编码利用ra加网络编码awgn信道 调制利用cpm调制可以快速运行方便理解(Network coding uses RA plus network coding AWGN channel modulation and CPM modulation to run quickly and understand easily)
- 2020-06-23 08:00:01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
