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Description: 这个模型是多层感知网模型，是神经网络的一种，可以用来对一组数据训练分类-This model is a model of multi-Zhi Wang a sense, is a kind of neural networks that can be used to train a group of data classification
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Size: 68608 |
Author: zdyhit |
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Description: 由发展蓝图和RBF监督神经网络的图像分类 希望大家喜欢-Supervised image classification by MLP and RBF neural networks
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Size: 501760 |
Author: dss |
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Description: The decoding of Low Density Parity Check (LDPC) codes through the iterative process of belief propagation presents practical challenges for designers looking for real time performance in communication systems. Due to the geometric and finite pattern nature endemic in the construction of LDPC codes, this paper proposes the use of Multi Layer Perception (MLP) feed forward artificial neural networks to replace belief propagation to achieve constant decoding times while retaining performance levels comparable to more traditional decoding methods. Due to the back propagation training method used for neural networks, and the requirement of showing the network every possible input output sequence it will ever see, this paper also presents a novel method of approaching long block length codes far larger than is otherwise possible to train neural networks for with modern computer hardware.
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Size: 431104 |
Author: namareq |
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Description: 几种常见的神经网络的matlab实现，包括BP网络，RBF网络，MLP网络，线性网络。-Several common neural network matlab implementation, including the BP network, RBF network, the MLP networks, linear networks.
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Size: 4096 |
Author: liuwei |
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Description: c++ 人工智能神经元系统源代码,给人工智能入门者学习用-This is a set of artificial neural network programs. The later versions are multilayer perceptron (MLP) backpropagation neural networks in which the number of layers and nodes are user-selectable.
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Size: 90112 |
Author: alex |
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Description: this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.-this code in used in neural network mlp with back propagation training algorithm and geradian descends algorithm for optimization.in some of this codes I used full propagation algorithm or mlp one layer or two layer with different activation function.this code can be use for prediction or control system by useing neural networks.
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Size: 5120 |
Author: negin.d |
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Description: Error Back-Propagation Algorithm for MLP Neural Networks
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Size: 2048 |
Author: Mahdi |
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Description: The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks
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Size: 363520 |
Author: omid |
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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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Size: 3062784 |
Author: 孙园 |
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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
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Size: 385024 |
Author: samir |
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Description: Neural Networks MLP method.
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Size: 2048 |
Author: eshaghi
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