Description: 这是一个matlab实现第归神经网络的例子, 实现的第归神经网络是 : Real Time Recurrent Learning-This is a Matlab achieve its neural network naturalization example, the realization of naturalization neural network is : Real Time Learning Recurrent Platform: |
Size: 5120 |
Author:王世海 |
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Description: two Matlab functions for initializing and training a recurrent neural network -two Matlab functions for initializing and training a recurrent neural network Platform: |
Size: 4096 |
Author:william |
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Description: 基于循环神经网络的语音识别作者单位为清华大学智能技术与系统国家重点实验室-Recurrent neural network-based speech recognition unit for the author of Intelligent Technology and Systems Tsinghua University, State Key Laboratory of Platform: |
Size: 201728 |
Author:薛良 |
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Description: 回声状态神经网络(ESN)是一种性能优异的递归神经网络，已经在各领域广泛研究，这是ESN的发明人研制的MATLAB工具箱，可供有关人员参考使用-Echo state neural networks (ESN) is a performance of recurrent neural networks have been extensively studied in various fields, which is ESN inventor developed MATLAB toolbox, use and reference available to the persons Platform: |
Size: 101376 |
Author:xu mark |
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Description: 递归神经网络程序，用于递归神经网络的训练，并可以进行泛化。-Recurrent neural network procedure for recurrent neural network training and generalization can be carried out. Platform: |
Size: 1024 |
Author:杨丽 |
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Description: 给于MATLAB 环境下的非线性滤波器。此设计中用到了，混合网络建模。B样条网络和对角递归神经元网络。-In the MATLAB environment to the non-linear filter. This design used a mixed network modeling. B-spline network and on the diagonal recurrent neural network. Platform: |
Size: 8192 |
Author:庞宇 |
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Description: Program for training and testing the Elman Recurrent Neural Network model when used to predict Platform: |
Size: 1024 |
Author:Abd Kadir |
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Description: 这是我写的关于对角递归神经网络的程序，或许对你有所帮助。-This is written about me on the diagonal recurrent neural network procedures, may be helpful to you. Platform: |
Size: 3072 |
Author: |
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Description: 此包含有遗传算法、粒子群算法、BP算法优化对角递归神经网络的MATLAB程序-This includes genetic algorithms, particle swarm optimization, BP algorithm for diagonal recurrent neural network of the MATLAB program Platform: |
Size: 134144 |
Author: |
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Description: Elman递归神经网络对时间序列的预测代码，做的效果还行，仅供参考-Elman recurrent neural network for time series prediction code, do the results were OK for reference purposes only Platform: |
Size: 30720 |
Author:chenshengli |
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Description: RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim- RNNSIM ver. 1.0 is a program with an intercative graphical user interface
(GUI) that runs under MATLAB ver. 5.0 or higher. The program can be used
in training and testing the Random Neural Network(RNN) models.
This version (ver. 1.0) implements only the 3 layer feed forward RNN model.
In the next versions, the multi hidden layers and the recurrent RNN models
can be implemented. To obtain faster training, the training section can be
written as a MEX file and invoked from the GUI.
If you have the m files in the directory rnnsim for example, then you can
run the program following the next steps:
1- run MATLAB as usual
2- from the MATLAB command window, write cd rnnsim
3- from the MATLAB command window, write rnnsim
Platform: |
Size: 63488 |
Author:hacen |
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Description: this a code for constructing recurrent neural network-this is a code for constructing recurrent neural network Platform: |
Size: 8192 |
Author:srabon |
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Description: This paper describes a Model Reference Adaptive
System (MRAS) based scheme using a multilayer
Recurrent Neural Network (RNN) for online speed
estimation of sensorless vector controlled inductmon
motor drive.
Platform: |
Size: 11264 |
Author:chinni |
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Description: Multi-step-prediction of chaotic time series based
on co-evolutionary recurrent neural network
协同进化递归神经网络的多步混沌时间序列预测-This paper proposes a co-evolutionary recurrent neural network (CERNN) for the multi-step-prediction of chaotic
time series, it estimates the proper parameters of phase space reconstruction and optimizes the structure of recurrent
neural networks by co-evolutionary strategy. The searching space was separated into two subspaces and the individuals
are trained in a parallel computational procedure. It can dynamically combine the embedding method with the capability
of recurrent neural network to incorporate past experience due to internal recurrence. The eff ectiveness of CERNN is
evaluated by using three benchmark chaotic time series data sets: the Lorenz series, Mackey–Glass series and real-world
sun spot series. The simulation results show that CERNN improves the performances of multi-step-prediction of chaotic
time series. Platform: |
Size: 152576 |
Author: |
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Description: Design and implement an RBF recurrent neural network with ten hidden RBF neurons in a single hidden layer for identification of a nonlinear dynamic system.
the file include source code and pdf file. Platform: |
Size: 63488 |
Author:zahra |
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Search - recurrent neural network