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F_mobility_model
说明： 应用matlab为ue的移动性进行仿真。包括速度，与bs夹角等模拟(Applications for the ue of the mobility matlab simulation. Including speed, the angle between the simulation and bs)
- 2011-04-02 21:00:56下载
- 积分：1
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gray-theory
灰色理论matlab的使用范例，有文字说明，简单易用(Use of gray theory matlab example, text instructions, easy to use)
- 2013-04-07 21:02:50下载
- 积分：1
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rossler
用来计算rossler吸引子的程序，运用四阶龙格库塔法非常实用，(used to calculate rossler attractor procedures, using four-Runge- Kutta method is very practical.)
- 2007-07-05 11:00:32下载
- 积分：1
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Practica-3
filtrar en frecuencia
- 2011-01-19 19:59:23下载
- 积分：1
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TSP-using-ICA
Traveling salesman problem with imperialist competitive algorithm
- 2014-10-17 06:00:51下载
- 积分：1
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Prediction-of-water-consumption
用lssvm预测用水量，运行环境是matlab(Prediction of water consumption by LSSVM, the operating environment is matlab)
- 2013-03-12 22:38:55下载
- 积分：1
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Dijkstra算法
迪杰斯特拉算法求最短路径距离，可用于流形测地距离计算中。(Dijkstra algorithm for the shortest path distance, can be used for manifold geodesic distance calculation.)
- 2017-07-24 17:13:31下载
- 积分：1
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rbfmatlab
经过测试，发现这个代码结果很好，而且可以 和别的程序结合，恩不错的(tested and found very good results this code, but can and other procedures, TU good)
- 2007-07-02 10:42:02下载
- 积分：1
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Matlab-program-manual
Matlab编程必备手册，包含编程格式规范，程序控制结构和实例，适用于初学者。(Matlab programming required manual contains programming format specification, program control structure and examples for beginners.)
- 2013-11-08 09:41:53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
