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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 ~
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Size: 2472 |
Author: Wei-cheng |
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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 ~
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Size: 2048 |
Author: Wei-cheng |
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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: 人工神经网络多层感知器9输入四维算法源程序-MLP artificial neural network input four-dimensional algorithm source code 9
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Size: 1024 |
Author: ulma |
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Description: 多层感知器神经网络，BP神经网络的Visual C++ 2008源代码程序，一个外国人写的，很好用。需要一定的编程基础才能看懂.-MLP neural network, BP neural network Visual C++ 2008 source code program, a foreigner, is useful. Need to understand some basics of programming.
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Size: 28672 |
Author: LiuKe |
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Description: 人工神经网络ANN多层感知器BP神经网络算法的C#源代码，一个外国人编写，供大家研究学习使用。-ANN artificial neural network MLP BP neural network algorithm C# source code, a foreigner writing for everyone to learn.
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Size: 831488 |
Author: LiuKe |
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Description: 多层前馈神经网络学习算法训练与测试才c＋＋代码-Multilayer feedforward neural network learning algorithm training and testing before c++ code
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Size: 3072 |
Author: 堆雪 |
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Description: Artificial Neural Network code
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Size: 6144 |
Author: jesus |
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Description: mlp rule matlab code in neural network exist in this file
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Size: 1024 |
Author: fateme |
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Description: MLP neural network source code
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Size: 4096 |
Author: iamhessampour |
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Description: 三道题，包括1：用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题:2：用奇阶互补法设计两带滤波器组(高、低通互补)，进而实现四带滤波器组 3：估计其功率谱-Three questions, including: 1 using multilayer perceptron ( MLP ) neural network and error back propagation ( BP ) algorithm to realize the XOR problem: 2: the odd order complementary method in the design of two-band filters ( complementary high, low pass ), so as to realize the four band filter group 3: to estimate the power spectrum
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Size: 106496 |
Author: 严菲 |
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Description: Multilayer Neural Network code
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Size: 1024 |
Author: kodegun |
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Description: this document describes how to use MLP neural network in Matlab
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Size: 5120 |
Author: Truong |
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Description: this file is neural network (MLP) code.
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Size: 4096 |
Author: mohedin |
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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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Size: 148480 |
Author: am |
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Description: Neural Network (MLP) Robot Localization with matlab code.
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Size: 40960 |
Author: javid |
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Description: this code source implement artificial neural network by using multi layers perceptron whit xor sample test.- this code source implement artificial neural network by using multi layers perceptron whit xor sample test.
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Size: 66560 |
Author: carlitos |
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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: 这段代码实现了一个新的MLP神经网络训练方法,来自论文A new method for neural network regularization（内附）-This code implements a new training method for MLP neural networks, named Support Vector Neural Network (SVNN), proposed in the work: O. Ludwig “Study on Non-parametric Methods for Fast Pattern Recognition with Emphasis on Neural Networks and Cascade Classifiers ” PhD Thesis, University of Coimbra, Coimbra, 2012. The input arguments are a N x L matrix of L representative N-element input vectors, a row vector, y, whose elements are the respective target classes, which should be-1 or 1, and the number of hidden neurons, nneu. Similarly to SVMs, the SVNN has a punishing parameter, C, which can be set in the line 16 of the code. The algorithm outputs the MLP parameters, W1, W2, b1, b2, which are input arguments of the MLP simulator “sim_NN.m” that also requires the matrix of testing data, as well as the target vector (in case of target unavailable, a empty vector must be supplied). “sim_NN.m” outputs the estimated class and the accuracy, acc (when testing targets are available). The code
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Author: 孙园 |
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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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Size: 1024 |
Author: sina |
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