搜索资源列表
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Perceptron LMS Feed Forward Back Propagation Character Recognition
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BP neural code
the backpropagation algorithm nwueal implementation in matlab, the code for training element wise
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matlab code for backpropagation
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MATLAB neural network backprop code
This code implements the basic backpropagation of
error learning algorithm. The network has tanh hidden
neurons and a linear output neuron.
adjust the learning rate with the slider
-MATL
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深度学习(Deep learning)matlab工具包-`NN/` - A library for Feedforward Backpropagation Neural Networks
`CNN/` - A library for Convolutional Neural Networks
`DBN/` - A library for Deep Belief Networks
`SAE/` - A library for Stacked Auto-
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This the error backpropagation algorithm based character recognition program developed in matlab. The program folder contains the training images of some english alphabets & numerals. & trains the neural network using train command in matlab. The neu
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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
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BackPropagation, implemented by matlab, for those who are new in neural networks
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BP神经网络,用于函数逼近。程序中先用一定间隔的函数数值对神经网络进行训练,待算法大致收敛后,然后用测试数据进行测试。并输出函数逼近的误差-BP feed-forward backpropagation network,which is used to approximate function.
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有限脉冲神经网络MATLAB源码,由波兰国立大学生物医药信号处理实验室提供。FIR 神经网络属于一种BP神经网络。-Finite Impulse Response (FIR) neural network models each synapse as a linear filter to provide dynamic interconnectivity. Temporal backpropagation is used to train the network in which error t
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Creating perceptron and BackPropragation Algorithm in matlab
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这是用于深度学习的Matlab工具箱
深度学习是机器学习的一个新的子领域,专注于学习深层次的数据模型。
它的灵感来自于人类大脑的明显的深层次(分层的)层次结构。
目录包括`NN /` - 一个用于前馈反向传播神经网络的库,`CNN /` - 卷积神经网络库,`SAE /` - 堆叠式自动编码器库,`CAE /` - 卷积自动编码器库,`util /` - 库使用的功能函数,`data /` - 实例使用的数据,`tests /` - 单元测试来验证工具箱是否正常工作(A Matlab to
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bachpropagation algorithm in matlab
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利用BP神经网络对邮件分类,2分类,实现反向传播算法细节,非直接函数调用(BP neural network is used to classify mail, 2 classifications, to implement the details of backpropagation algorithm, non direct function call.)
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使用matlab实现的底层cnn算法,包括求卷积,池化,和反向传播等操作(The underlying CNN algorithm implemented using MATLAB, including convolution, pooling, and backpropagation operations)
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