搜索资源列表
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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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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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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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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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无导师学习神经网络的分类，程序很全，有实例可以在直接运行-Unsupervised learning neural network classification, the program is full, there are instances can be run directly
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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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一本关于深度架构学习算法，尤其是用来构造更深层模型的非监督学习的单层模型。(Theoretical results suggest that in order to learn the kind of com-
plicated functions that can represent high-level abstractions (e.g., in
vision, language, and other AI-level tasks), one may need deep archite
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SVM-无监督机器学习领域的经典算法，在神经网络未出现前，他是机器学习的顶梁柱，现在依然用处广泛，而且其核函数的使用范围早已超脱其本身，该实例对SVM算法进行了实现，具有相应的数据集。(SVM - Unsupervised machine learning in the field of classical algorithms, before the neural network does not appear, he is the mainstay of machine learning,
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自动编码器是一种数据的压缩算法，其中数据的压缩和解压缩函数是数据相关的、有损的、从样本中自动学习的。在大部分提到自动编码器的场合，压缩和解压缩的函数是通过神经网络实现的。(An autoencoder, autoassociator or Diabolo network is an artificial neural network used for unsupervised learning of efficient codings. The aim of an autoencoder is
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深度信念网络，神经网络的一种。既可以用于非监督学习，类似于一个自编码机；也可以用于监督学习，作为分类器来使用。(Deep belief network, a kind of neural network. It can be used for unsupervised learning, similar to a self-coding machine, or supervised learning, as a classifier.)
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