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The Pattern recognition of oil-gas bed基于模式识别 BP网络技术的油气层识别.doc发表的论文
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超强金融分析类库，几乎涵盖所有的技术分析指标。-Technical analysis library with indicators like ADX, MACD, RSI, Stochastic, TRIX... includes also candlestick pattern recognition. Useful for trading application developpers using either Excel, .NET, Mono, Java, Perl or C/C++.
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遗传神经网络的模式识别算法,可以用于设备的故障诊断-Genetic neural network pattern recognition algorithm, can be used for equipment fault diagnosis
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支持向量机的分类和回归算法,可用于模式识别和预测-Support vector machine classification and regression algorithms can be used for pattern recognition and prediction
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Pattern recognition source
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模式识别工具箱的内容非常好用，找了好久才找到的-The contents of the toolbox is very useful for pattern recognition. Lots of downloads
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Pattern Recognition Algorithms Implementation (K-Means, DHB ,DHF, AFB, ABF)
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A example for BayesianClassification in pattern recognition
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java open source code for iris pattern recognition system
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this file contains prtools (pattern recognition tools).
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toolbox for pattern recognition
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基于VC++实现手写识别系统设计，用户可以根据自己的需要更改模式识别的方式，简单的操作界面体现了整体系统的设计思路-Based VC++ achieve handwriting recognition system design, the user can change the pattern recognition methods according to their needs, a simple user interface reflects the overall system desi
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基于马氏椭球学习机的监督野点探测；属于极限学习机elm算法在模式识别， 智能信息处理技术方面的应用论文：针对ssdd、melm、sodmelm算法比较-Supervised outlier detection based on Mahalanobis ellipsoid learning machine belong extreme learning machine algorithm elm papers in pattern recognition, intelligent informa
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l利用VC++6.0实现的手写字符识别的程序，是模式识别的一个例子-Recognition of handwritten characters
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In pattern recognition, the k-Nearest Neighbors algorithm (or k-NN for short) is a non-parametric method used for classification and regression.[1] In both cases, the input consists of the k closest training examples in the feature space.
farzanh
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Linear classifiers in kernel spaces have emerged as a major topic within the field of machine learning. The kernel technique takes the linear classifier—a limited, but well-established and comprehensively studied model—and extends its applicability t
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Linear discriminant analysis (LDA) and the related Fisher s linear discriminant are methods used in statistics, pattern recognition and machine learning to find a linear combination of features which characterizes or separates two or more classes of
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Enhancement
plays a significant role in digital image processing, computer
vision, and pattern recognition. We present an automatic transformation technique that improves the brightness of dimmed
images via the gamma correction and probability
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Genetic algorithm and its application, Chen Guoliang edited and published with the People s Post and in 2001 the first book version of the full introduction of the genetic algorithm basic tenets , design methods and parallel implementation, and its p
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遗传算法是一种新的优化方法，在计算科学、模式识别和智能故障诊断中得到了广泛的应用。它是用来解决复杂的非线性和多维空间的优化问题，近年来也得到了更广泛的应用。-Genetic algorithm is a new optimization method, extensively used in computational science, pattern recognition and intelligent fault diagnosis. It is used in solving the c
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