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对偶传播神经网络,有监督和无监督相结合的一种神经网络-dual-propagation neural networks, supervised and unsupervised combination of a neural network
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SOM神经网络(自组织特征映射神经网络)是一种无导师神经网路。网络的拓扑结构是由一个输入层与一个输出层构成。输入层的节点数即为输入样本的维数,其中每一节点代表输入样本中的一个分量。输出层节点排列结构是二维阵列。输入层X中的每个节点均与输出层Y每个神经元节点通过一权值(权矢量为W)相连接,这样每个输出层节点均对应于一个连接权矢量。
自组织特征映射的基本原理是,当某类模式输入时,其输出层某一节点得到最大刺激而获胜,获胜节点周围的一些节点因侧向作用也受到较大刺激。这时网络进行一次学习操作,获胜节点
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非监督学习神经网络的自动调制识别研究与实现-Unsupervised learning neural network based automatic modulation recognition and implementation of
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自组织映射神经网络,实现数据网络的无导师训练-Self-organizing map neural network, data network unsupervised training
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介绍模式识别的基本概念,详述了贝叶斯,参数估计,线性分类器,神经网络,随机方法,无监督学习与聚类等-Introduce the basic concepts of pattern recognition, Bayesian detailed, parameter estimation, linear classifiers, neural networks, stochastic methods, unsupervised learning and clustering, etc.
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SOM 是神经网络中很重要用C语言实现的算法。对于学习神经网络的人来说,可以学习学习。-SOM is an unsupervised neural network algorithm. The algorithm in the neural network has a significant impact. Learning neural network for people who are very important. I hope this code can give you help.
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Key Features
* Neural network design, training, and simulation
* Pattern recognition, clustering, and data-fitting tools
* Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and laye
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无导师学习神经网络分类。带有例子。保证是可以运用的,例子是矿井突水水源的例子。-Unsupervised learning neural network classifier. With examples.
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无导师学习神经网络的分类——矿井突水水源判别-Unsupervised learning neural network classification- mine water inrush discrimination
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无监督神经网络利用matlab能够有效的实现图像化,还能得到最有结果-Unsupervised neural network using matlab can effectively realize the image of, but also get the most results
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A self-organizing map (SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning to produce a low-dimensional (typically two-dimensional)
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包括无监督和监督的机器学习技术
• K-means and other clustering tools
• Neural Networks
• Decision trees and ensemble learning
• Naï ve Bayes Classification
• Linear, logistic and nonlinear regression-Highlights include unsu
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无导师学习神经网络的分类,应用于矿井突水水源判别,matlab编写-Unsupervised learning neural network classification, used in mine water inrush source discrimination, matlab prepared
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The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in
which pattern recognition has been traditionally formulated, the statistical approach has been most intensively studied and used i
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自组织特征映射神经网络是一类无导师学习的神经网络模型可用于聚类分析-Self-organizing neural network is a kind of unsupervised learning neural network model can be used for cluster analysis
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An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised l
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无导师学习神经网络的分类——矿井突水水源识别matlab程序-Categories unsupervised learning neural networks- mine water bursting source identification matlab program
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神经网络中的无监督学习中的SOM学习算法,并在MFC中以主观方式显示学习过程。-Neural network unsupervised learning of SOM learning algorithm, and in MFC in order to show the subjective learning process.
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Water inrush identification of mine based on unsupervised learning neural network
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An analysis of single-layer networks in unsupervised feature learning
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