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rtrl.tar
- two Matlab functions for initializing and training a recurrent neural network -two Matlab functions for initializing and training a recurrent neural network
Recurrent-T-S-FNN
- 递归T-S模糊神经网络学习算法，用遗传算法优化参数-Recursive TS fuzzy neural network learning algorithm, using genetic algorithm parameters
Neural_Control
- 首先介绍人工神经网络的基本概念和ANN 的特性，以及神经网络的学习方法。然后讲授典型的前向神经网络、反馈神经网络的原理、结构、基本算法，给出了BP 网络的算法改进。最后介绍了神经网络PID 控制。-First introduces the basic concepts of artificial neural networks and the characteristics of ANN, and the neural network learning. And then teach the t
sensorl.pdf
- The speed value is obtained at the multilayer Artificial Neural Network (ANN) output and the feedback is connected between the output and the input node so as to extract the dynamic recurrent neural network features.
rnnpb
- This code make the Recurrent Neural Network Parametric Bias (RNNPB) structure
rnnpb_train
- This code train the Recurrent Neural Network Parametric Bias (RNNPB)
RECURRENT-ANN-(7)
- recurrent neural network (RNN)
RECURRENT-ANN-(8)
- recurrent neural network (RNN)
RECURRENT-ANN-(9)
- recurrent neural network (RNN)
RECURRENT-ANN-(10)
- recurrent neural network (RNN)
RECURRENT-ANN-(11)
- recurrent neural network (RNN)
RECURRENT-ANN-(12)
- recurrent neural network (RNN)
RECURRENT-ANN-(13)
- recurrent neural network (RNN)
RECURRENT-ANN-(15)
- RECURRENT NEURAL NETWORK R-RECURRENT NEURAL NETWORK RNN
RECURRENT-ANN-(17)
- RECURRENT NEURAL NETWORK
Hopfield_Example
- Hopfield is one of most famous recurrent Neural Network. here is a sample.-Hopfield is one of most famous recurrent Neural Network. here is a sample.
Fuzzy-Neural-Network-by-matlab
- 这是一个四个不同的S函数实现集合的递归模糊神经网络（RFNN）。该网络采用了4组可调参数,这使得它非常适合在线学习/操作，从而可应用到系统识别等方面。-This is a collection of four different S-function implementations of the recurrent fuzzy neural network (RFNN) described in detail in [1]. It is a four-layer, neuro-fuzzy net
recurrent
- recurrent neural network
caffe-recurrent-v4
- 构建神经网络，进行数据处理，包括卷积神经网络和递归神经网络-Construction of neural networks, data processing, including convolution neural networks and recurrent neural network
neutral-network-tensorflow
- 使用tensorflow实现几类深度学习，如卷积神经网络、自回归神经网络、动态神经网络等-Use tensorflow to achieve several kinds of deep learning, such as convolution neural network, recurrent neural network, dynamic neural network