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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
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Size: 4941 |
Author: 龙海侠 |
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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络。网络输入范围[-1 1]，第一层有10个tansig神经元-using MATLAB right neural network programming with newff () to the creation of a two-tier network. Network input range [-1 1], the first layer 10 tansig neurons
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Size: 5120 |
Author: 龙海侠 |
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Description: bp神经网络源码, NEWFF---生成一个新的前向神经网络
TRAIN-----对BP神经网络进行训练
SIM----对BP神经网络进行仿真
-bp neural network source code
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Size: 1024 |
Author: yuanru |
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Description: Matlab 下 BP 神经网络的举例及详细说明。美国大学的一个实验。 虽然是 PDF文件，但程序可以直接粘贴下来运行。-The process to train and test a designed MLP neural network :
1) We make training patterns and test patterns.
2) A network architecture should be defined by newff MATLAB function with the
number of layers, neurons and transfer functions.
3) The defined neural network architecture is trained by train MATLAB function with
input patterns and training parameters.
4) We can easily check the result by using a sim MATLAB function.
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Size: 100352 |
Author: zhulz |
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Description: Matlab中BP神经网络的构建和初始化训练前馈网络的第一步是建立网络对象。函数newff建立一个可训练的前馈网络。这需要4个输入参数。第一个参数是一个Rx2的矩阵以定义R个输入向量的最小值和最大值。第二个参数是一个颟顸每层神经元个数的数组。第三个参数是包含每层用到的转移函数名称的细胞数组。最后一个参数是用到的训练函数的名称。 -matlab bp
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Size: 243712 |
Author: douzi |
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Description: matlab训练神经网络的源代码程序，用于神经网络的学习-matlab neural network training process the source code for the neural network learning
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Size: 1024 |
Author: jiangnian |
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Description: bp网络 图像分类 能运行，针对不同的图片稍作调试即刻。-bpnet
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Size: 1024 |
Author: wujun |
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Description:
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Size: 1024 |
Author: 于洁 |
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Description: feed forward back propagation neural network-feed forward back propagation neural network
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Size: 3072 |
Author: ali |
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Description: this code is matlab and use newff to create ann.
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Size: 1024 |
Author: m |
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Description: 神经网络预测程序 求一用 matlab 编的程序 P=[。。。] 输入 T=[。。。] 输出 创建一个新的前向神经网络 net_1=newff(minmax(P),[10,1],{ tansig -BP neural network prediction program with MATLAB
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Size: 238592 |
Author: 李明 |
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Description: 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 neural network is initialized using newff command.
After the simulation, the program recognizes the input character. Accuracy on the provided images is 100 .-This is 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 neural network is initialized using newff command.
After the simulation, the program recognizes the input character. Accuracy on the provided images is 100 .
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Size: 7730176 |
Author: manish |
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Description: matlab神经网络newff函数用来创建网络，为BP神经网络设置参数-newff is very important of BP.
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Size: 245760 |
Author: 万物 |
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Description: 我用matlab凋式程序时出现如下报错，搞不懂了，求教高人！<BR>??? Error using ==> network/train<BR>Targets are incorrectly sized for network.<BR>Matrix must have 5 rows.<BR><BR>我的输入是9 ，隐含层7，输出5<BR>建网函数为：net=newff(minmax(p),[7 5],{ logsig logsig }, traingdx ) -我用matlab凋式程序时出现如下报错，搞不懂了，求教高人！<BR>??? Error using ==> network/train<BR>Targets are incorrectly sized for network.<BR>Matrix must have 5 rows.<BR><BR>我的输入是9 ，隐含层7，输出5<BR>建网函数为：net=newff(minmax(p),[7 5],{ logsig logsig }, traingdx )
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Size: 641024 |
Author: zhadkj |
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Description: MATLAB 实现的BP神经网络，没有使用newff函数，自行编写的程序，还有多种改进算法。-MATLAB BP neural network, there is no use newff function, its own written procedures, there are many kinds of improved algorithm.
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Size: 7168 |
Author: Jing |
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Description: Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes.
- The snapshot and bitmap of shapes are given:
- Training shapes: shkt.bmp
- Training patterns: trn.txt (each shape is in a 125*140 matrix)
- Test shapes: shks.bmp
- Test patterns: tsn.txt (each shape is in a 125*140 matrix)
- Since the dimension of inputs is too high (17500-dimensional), it is not possible to apply them directly to the net. So, … .
- Try the number of hidden neurons to be at least.
- Do training of NN until all training patterns are truly classified.
- To examine the generalization ability of your NN after training,
a) Apply it to the test patterns and report the accuracies.
b) Add p noise (p=5, 10, …, 75) to the training shapes (only degrade the
black pixels of the shapes) and report in a plot the accuracy versus p.-Using MATLAB tools for MLP NNs (e.g., newff, …), design a two-layer feed-forward neural network as a classifier to categorize the input geometric shapes.
- The snapshot and bitmap of shapes are given:
- Training shapes: shkt.bmp
- Training patterns: trn.txt (each shape is in a 125*140 matrix)
- Test shapes: shks.bmp
- Test patterns: tsn.txt (each shape is in a 125*140 matrix)
- Since the dimension of inputs is too high (17500-dimensional), it is not possible to apply them directly to the net. So, … .
- Try the number of hidden neurons to be at least.
- Do training of NN until all training patterns are truly classified.
- To examine the generalization ability of your NN after training,
a) Apply it to the test patterns and report the accuracies.
b) Add p noise (p=5, 10, …, 75) to the training shapes (only degrade the
black pixels of the shapes) and report in a plot the accuracy versus p.
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Size: 3072 |
Author: fatemeh |
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Description: Neural network to make use of MATLAB programming, with newff () to create two layers of forward network,
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Size: 6144 |
Author: locil |
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Description: 利用MATLAB对神经网络进行编程,用newff()创建两层前向网络,(Neural network to make use of MATLAB programming, with newff () to create two layers of forward network,)
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Size: 3072 |
Author: Mjrle
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