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图像模式识别的各种算法及其编程实现,包括模板匹配分类器、几何分类器和神经网络分类器等，可用于手写数字的识别。-A variety of image pattern recognition algorithm and its programming, including template matching classifier, geometric classifier and neural network classifiers, etc., can be used for handwritte
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神经网络的源代码，关于字符识别的一些东西-Neural network source code, something about character recognition
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NetScore - Neural Network using Scaled Conjugate Gradient Algorithm in Optical Character Recognition.
Netscore is an easy to use yet
powerful and intuitive tool to recognize drawn character or symbol using Java.
Feel free to contact me i
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recognition of handwriting that implement with matlab and neutral network.
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CNN Class, ver 0.72.
Change log:
Ver 0.72:
Sample GUI added, demonstrating use of convolutional network for handwriten digits recognition.
Training runs 20 faster.
Ver 0.71:
Bug fix: training was stoped after 1 epoch.
Ver 0.70:
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This project provides matlab class for implementation of convolutional neural networks. This networks was created by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot na
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Tutorial: Algorithms for 2-Dimensional Object Recognition.
Representation of arbitrary shape for purposes of visual recognition is an unsolved problem. The task of representation is intimately constrained by the recognition process and one cannot b
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recognition with Back Propogation neural network
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Neural Networks for Pattern Recognition
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matlab 神经网络算法应用于图片中人物性格识别,通过对神经网络的训练，可以识别图像中是男性还是女性-matlab neural network algorithm is applied to the picture of character recognition, neural network through training, can identify the image is male or female. . .
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火灾视觉特征的提取是视觉火灾探测中的关键问题. 我们主要研究色彩、纹理以及轮廓脉动
等特征的提取,并提出一种度量轮廓脉动信息的距离模型,该模型在规格化的傅立叶描述子空间能
够准确地度量这种时空闪烁特征. 实验结果表明,该方法具有比较好的鲁棒性,有助于提高视觉火
灾探测的准确率、降低误报漏报率.-Based on investigating color , text ure and temporal feat ures for vision based fire detection ,
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1.BP神经网络进行模式识别
2.用BP网络对非线性系统进行辨识
3.一个神经网络PID控制器
4.图像处理的PCA算法
5.图像处理的穷举算法-1.BP neural network pattern recognition 2. Using BP network identification of nonlinear systems 3. A neural network PID controller 4. The PCA algorithm for image process
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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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人脸识别是机器视觉和模式识别领域最富有挑战性的课题之一，同时也具有较为广泛的应用意义。人脸识别技术是一个非常活跃的研究领域，它覆盖了数字图像处理、模式识别、计算机视觉、神经网络、心理学、生理学、数学等诸多学科的内容。如今，虽然在这方面的研究已取得了一些可喜的成果-Face recognition is the field of machine vision and pattern recognition, one of the most challenging issues, but also
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用BP神经网络进行手写数字的识别,特征提取是基于统计模式识别的方法-BP neural network with the handwritten numeral recognition, feature extraction is based on statistical pattern recognition approach
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BP神经网络人脸识别的程序,可以对人脸进行识别.-BP neural network face recognition program
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Voice recognition using neural network PDF journal
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图像识别概述统计模式的识别方法、结构语句的识别方法、模糊集识别法、神经网络识别法等-Image recognition methods outlined in the statistical model identification, structure identification method statements, fuzzy set identification method, neural network identification method, etc.
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face recognition using dct and neural networks
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License Plate Recognition, ah useful. Including the extraction plate and neural network training
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