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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。
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Size: 1213339 |
Author: 楊易 |
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Description: 一个基于遗传算法和MLP的例子 Generic Algorithm-one based on genetic algorithms and MLP example Generic Algorithm
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Size: 5120 |
Author: zy |
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Description: 多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
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Size: 1483776 |
Author: 张毅 |
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Description: 我ANN的大作业，里面有三个程序，里面有测试训练数据主要关于MLP-ANN big operation, there are three procedures, and they test data on the training MLP
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Size: 5120 |
Author: 国的 |
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Description: 很好的粒子滤波程序之MLP（multiple layer perception）权值估计-good particle filter procedures MLP (multiple layer perceptio n) the estimated weight
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Size: 4096 |
Author: 侯睿 |
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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: To estimate the input-output mapping with inputs x
％ and outputs y generated by the following nonlinear,
％ nonstationary state space model:
％ x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)]
％ + 8cos(1.2t) + process noise
％ y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3
％ + time varying measurement noise
％ using a multi-layer perceptron (MLP) and both the EKF and
％ the hybrid importance-samping resampling (SIR) algorithm. -To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.
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Size: 40960 |
Author: Lin |
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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.
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Size: 1213440 |
Author: 楊易 |
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Description: mlp
-mlp
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Size: 206848 |
Author: ahmad |
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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: classification using MLP with GUi
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Size: 4096 |
Author: Kamalesh |
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Description:
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Size: 2048 |
Author: yenlun |
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Description: for MLP neural network.
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Size: 4096 |
Author: rose |
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Description: Multilayer Perceptron (MLP) in c# language
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Size: 1024 |
Author: pichaiku |
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Description: hidden layer sigmoidal MLP-To simulate a one hidden layer sigmoidal MLP
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Size: 1024 |
Author: kang |
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Description: An mlp Network which distinquishes between numbers 0 to 9 in a five to seven matrix
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Size: 2048 |
Author: fatal |
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Description: Online identify the plant dynamic by using intelligent architectures here using MLP architecture neural network for the plant.
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Size: 83968 |
Author: bui hai linh |
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Description:
MLP with wieght and multilayer
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Size: 20480 |
Author: saba |
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Description: 用mlp实现分类，例子中用了一个隐层，可以改变隐层个数，用多个隐层(With mlp to achieve classification, the example used a hidden layer, you can change the number of hidden layers, with multiple hidden layer)
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Size: 2048 |
Author: 琪琪1
|
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Description: 人工智能导论作业，用mlp方法实现的水杯图片分类，生成loss的下降趋势图(Homework of AI. Using MLP to classify images of cups and bottles, and plot loss of the training process.)
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Size: 1594368 |
Author: nutee000
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