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Author: 胡朋 |
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Description: 使用高斯混合模型（GMM)模拟模式识别的源代码-The use of Gaussian mixture model (GMM) Analog Pattern Recognition of the source code
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Author: qjc |
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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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Author: zhulz |
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Description: A MLP code with backpropagation training algorithm designed for classification problems.
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Author: Paulo |
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Description: A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
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Author: Paulo |
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Description: mlp rule matlab code in neural network exist in this file
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Author: fateme |
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Description: this document describes how to use MLP neural network in Matlab
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Author: Truong |
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Description: MATLAB MLP Backprop Code
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Author: Aldy |
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Description: this MLP neural network code in Matlab for implementing multiplication.-this is MLP neural network code in Matlab for implementing multiplication.
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Author: am |
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Description: Neural Network (MLP) Robot Localization with matlab code.
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Author: javid |
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Description: MLP matlab code for mnist dataset.
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Author: tahereh |
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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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Author: fatemeh |
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Description: it s a MLP MATLAB code
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Author: sajjad988 |
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Description: The following Matlab project contains the source code and Matlab examples used for neural network (mlp) robot localization. Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data. GUI is in Portuguese, but self-explanatory. English version will be provided soon.
The following Matlab project contains the source code and Matlab examples used for neural network mccullotch pitt matlab code . neural network Mccullotch pitt matlab code or and andnot logics
The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
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Author: sina |
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