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将递归神经网络与横模CMA盲均衡结合了起来，对8000个数据进行预测，实现了一定的盲均衡功能-The recurrent neural network with the CMA blind equalization combined transverse mode up to 8000 data to predict, to achieve a certain blind equalization
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循环神经网络教程 循环神经网络教程-Recurrent Neural Network TutorialRecurrent Neural Network TutorialRecurrent Neural Network Tutorial
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matlab,recurrent neural network
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matlab recurrent neural network machin learning
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前馈循环神经网络，用于处理语音识别,里面是matlab源代码，以及实例。学习神经网络算法很有帮助。(Feed forward recurrent neural network for speech recognition, which is the matlab source code, and an example. Learning neural network algorithms is very helpful.)
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深度学习，循环神经网络LSTM，常用于语音识别，翻译，预测等(Deep learning, recurrent neural network LSTM)
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循环神经网络代码，简单实现深度学习的方式。初学者使用(Recurrent neural network code, a simple way to realize deep learning. Beginners use)
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利用MATLAB实现循环神经网络的例子，便于大家更好的理解循环神经网络RNN的原理。(The example of recurrent neural network is implemented by MATLAB, so that you can have a better understanding of the principle of recurrent neural network RNN.)
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使用循环神经网络实现SMPCUP2017任务3的用户活跃度预测(Predict the growth value of users via recurrent neural network in SMPCUP 2017 task 3)
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使用了全连接网络，卷积神经网络，循环神经网络分别构建不同的分类器，如何通过模型保存原理进行保存。(Using the fully connected network and convolution neural network, recurrent neural network builds different classifiers respectively, and how to save them through the preservation principle of the mode
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python实现的循环神经网络，带数据集，可运行(Python implemented recurrent neural network, with data sets, can be run)
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在进行基于matlab语言的深度学习时，为了更好地理解深度学习中的深度循环神经网络，请认真学习一下RNN函数。(In deep learning based on MATLAB language, in order to better understand deep recurrent neural network in deep learning, please carefully study the RNN function.)
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循环神经网络RNN 实现字符串预测
本教程将以字符预测为例，说明如何利用RNN预测基于当前输入和隐藏状态的下一个字符。(Use recurrent neural network RNN to implement string prediction.
This tutorial will use character prediction as example to show how to use RNN to predict next character based on current in
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LSTM（Long Short-Term Memory）是长短期记忆网络，是一种时间递归神经网络，适合于处理和预测时间序列中间隔和延迟相对较长的重要事件。(LSTM (Long Short-Term Memory) is a long and short term memory network. It is a kind of time recurrent neural network, which is suitable for dealing with and predicting impo
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用matlab做的预测的例子，采用rnn循环神经网络实现，亲测可用(Using MATLAB to do the prediction example, using recurrent neural network RNN implementation, pro test available.)
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matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
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tensorflow框架下的循环神经网络实例代码，前向传播方式(Recurrent neural network instance code under tensorflow framework, forward propagation mode)
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循环神经网络LSTM可以预测时间序列数据，根据历史时刻的信息预测未来时刻的信息(the recurrent neural network is very useful to predict data in the future)
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利用MATLAB实现循环神经网络的例子，便于大家更好的理解循环神经网络RNN的原理。((The example of recurrent neural network is implemented by MATLAB, so that you can have a better understanding of the principle of recurrent neural network RNN.))
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用 Python 机器学习，时间序列模型预测， 循环神经网络(Python Machine Learning, Time Series Model Prediction, recurrent Neural Network)
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