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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-The Pattern recognition of oil-gas bed pattern recognition based on BP network technology to identify oil and gas layer. Doc papers
Date : 2026-01-10 Size : 40kb User : amy

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
Date : 2026-01-10 Size : 49kb User : 费小东

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
Date : 2026-01-10 Size : 74kb User : 费小东

Pattern Recognition Algorithms Implementation (K-Means, DHB ,DHF, AFB, ABF)
Date : 2026-01-10 Size : 1.5mb User : lotf81

A example for BayesianClassification in pattern recognition
Date : 2026-01-10 Size : 1kb User : alireza mirjalili

this file contains prtools (pattern recognition tools).
Date : 2026-01-10 Size : 988kb User : ali

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
Date : 2026-01-10 Size : 4.99mb User :

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
Date : 2026-01-10 Size : 1kb User : hera

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 to a wide range of nonlinear pattern-recognition tasks such as natural language processing, machine vision, and biological sequence analysis
Date : 2026-01-10 Size : 1kb User : hera

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 objects or events. The resulting combination may be used as a linear classifier, or, more commonly, for dimensionality reduction before later classification.
Date : 2026-01-10 Size : 3kb User : hera
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