Description: 類神經網路,MLP程式碼,可以計算多層架構之類神經網路運算~C-neural network, MLP code can be calculated multilayer structure of the neural network operator C ~ Platform: |
Size: 2048 |
Author:Wei-cheng |
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Description: 本程序实做MLP(Multi-layer perceptron)算法,使用者可以自行设定训练数据集与测试数据集,将训练数据集加载,在2、3维下可以显示其分布状态,并分别设定键节值、学习率、迭代次数来训练其类神经网络,最后可观看辨识率与RMSE(Root Mean squared error)来判别训练是否可以停止。-This procedure is to do MLP (Multi-layer perceptron) algorithm, the user can set their own training data set and test data sets, the training data set is loaded, in the 2,3-dimensional display of their distribution, and were set key section of the value of learning rate, number of iterations to train the neural network can watch the final recognition rate and the RMSE (Root Mean squared error) to determine whether the training can stop. Platform: |
Size: 1213440 |
Author:楊易 |
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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.
Platform: |
Size: 100352 |
Author:zhulz |
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Description: A new technique basedon the multilayer perceptron
(MLP)neural network is proposed for blocking-artifact removal
inblock-coded images.The new method is basedon the concept
of learning by examples. Platform: |
Size: 99328 |
Author:setive |
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Description: this MLP project in Neural Network that have userinterface. run GUI.m to execute project -this is MLP project in Neural Network that have userinterface. run GUI.m to execute project Platform: |
Size: 24576 |
Author:autstudent |
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Description: wavelet network (wavelet function as activation function of the nodes of the hiden layer of the neural network , MLP) can be used for classification Platform: |
Size: 86016 |
Author:redouane |
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Description: Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant. Platform: |
Size: 83968 |
Author:bui hai linh |
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Description: Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly perform the forecasting tasks and
may be a satisfactory substitute for laboratory tests. Artificial
neural networks represent a promising alternative to
classical statistical and mathematical methods to solve
multidimensional nonlinear problems. It also represents a
promising forecasting application in nephrology. In this
study, multilayer perceptron (MLP) neural network with
fast learning algorithms is used for the accurate prediction
of the post-dialysis blood urea concentration-Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly perform the forecasting tasks and
may be a satisfactory substitute for laboratory tests. Artificial
neural networks represent a promising alternative to
classical statistical and mathematical methods to solve
multidimensional nonlinear problems. It also represents a
promising forecasting application in nephrology. In this
study, multilayer perceptron (MLP) neural network with
fast learning algorithms is used for the accurate prediction
of the post-dialysis blood urea concentration Platform: |
Size: 385024 |
Author:samir |
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