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文件包中是关于模式识别中神经网络法，模板匹配，Fisher判别法和细化算法（用于轮廓检测）以及数字识别的vc程序-packages on the pattern recognition neural network, template matching, Fisher Discriminant and thinning algorithm (used for contour detection), and digital identification procedures vc
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模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。-Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very
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Adaline Network Pattern Recognition 人工智能人工神经网络源码-Adaline Network Pattern Recognition of artificial neural network artificial intelligence source
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BP神经网络用于函数拟合与模式识别的Matlab示例程序,说明很详细,并且代码可以直接拿来用-BP neural network for function fitting and pattern recognition procedures Matlab examples to illustrate in great detail, and the code can be directly used by
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利用bp神经网络的方法来实现ecg信号st段的模式识别。-The use of bp neural network approach to the realization of ecg signal st paragraph of pattern recognition.
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根据神经网络的算法对三幅训练图像和测试图像进行识别。-According to neural network training algorithm for three test images and image recognition.
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MATLAB中应用支持向量肌（SVN）神经网络对模式识别处理-MATLAB Application of Support Vector muscle (SVN) neural network for pattern recognition processing
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MATLAB中应用小波神经网络（WNN）对模式识别处理-MATLAB application of wavelet neural network (WNN) for pattern recognition processing
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Neural Networks at your Fingertips.rar
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Network: Adaline Network
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Application: Pattern Recognition
Classification of Digits 0-9
Author: Karsten Kutza
Date: 15.4.96
Reference: B. Widrow, M
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这是《精通VC++数字图像模式识别技术及工程实践[第2版]》光盘源代码，其中包括EM算法、fisher判别函数、HMM隐马尔科夫模型、BP神经网络、小波变换、alpha-beta剪枝、A*算法等，还包含几个纹理分析、人脸定位、字符识别、车牌号识别、8数码、黑白棋、离线/在线签名等实例，因此对于学习模式识别、人工智能的朋友们都大有裨益。光盘中的素材请见另外一个资源。-This is " proficient in VC++ Digital Image Pattern Recognitio
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支持向量机作为统计学习理论的实现方法，能很好地解决非线性和高维数问题，克服了神经网络方法收敛慢、解不稳定、推广性差的缺点，近年来得到了广泛地研究，在模式识别、信号处理、控制、通讯等方面得到了广泛地应用。-Support Vector Machine as the implementation of statistical learning theory approach, can be a good solution to the nonlinear and high dimension pro
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本资料为神经网络模式识别及其应用的中文版，其中，介绍了模式识别方面的基础知识，以及神经网络的应用，并且给出了C++代码的实现。非常适合入门。-This information and the application of neural network pattern recognition of the Chinese version, which introduced the basic knowledge of pattern recognition and neural network a
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matlab的详细手册（中英文版）、matlab的相关程序实例、用maple和matlab解决科学计算问题的资料
Kohonen网络的模式识别和LVQ神经网络的模式识别-matlab detailed manual (in English), matlab examples of the relevant procedures, using maple and matlab to solve issues in scientific computing Kohonen network LVQ
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利用神经网络进行字符识别。字符识别时模式识别的一个典型应用。本源码将训练BP神经网络使其能过对26个英文字母进行识别。-The use of neural network character recognition. When character recognition of a typical pattern recognition application. The source will be training BP neural network to enable them to have
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模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
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采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
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采用BP神经网络算法进行调制样式识别的Matlab代码-Using BP neural network pattern recognition algorithm Matlab code modulation
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This book gives an introduction to basic neural network architectures and learning rules. Emphasis is placed on the mathematical analysis of these networks, on methods of training them and on their application to practical engineering problems in suc
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this code for character recognition.this code can recognize an image with array matrix of [3x3]. this code apply a neural network method.-this is code for character recognition.this code can recognize an image with array matrix of [3x3]. this code ap
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西奥多里蒂斯著，李晶皎译
本书系统阐述了模式识别的原理与方法，并在此基础上介绍了模式识别的应用。全书分为：基础部分和应用部分：基础部分主要包括统计模式识别、模糊模式识别、神经网络模式识别等内容；应用部分有车牌识别和语音识别。 -This paper discussed the principles and methods of pattern recognition, and based on this, the application of pattern recognition. Enc
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