搜索资源列表
pcaBPneuralnetwork
- 用主成分分析与神经网络进行人脸的识别 文件是整个的ＭＡＴＬＡＢ数据文件-using principal component analysis and neural networks face identification document is the entire data file MATLAB
HOPFIELD_classic
- 此程序用C++开发， 属于神经网络中经典的hopfeild算法 程序， 包括源代码。-this program with C development, neural networks belonging to the classic hopfeild algorithm procedures, including source code.
GMM_based_PNN
- 基于人工神经网络和GMM的数字识别-based on artificial neural networks and the digital identification G
facedist
- 基于神经网络的人脸识别，效果很不错。 Neural Network-Based Face Detection-based on neural networks face recognition, the effect is pretty good. Neural Network-Based Face Detection
BPneuralnet
- 神经网络，模式识别功能，程序经调试，能正常运行。-neural networks, pattern recognition functions, processes and testing can run normally.
BPnet_number_recognition
- 基于BP网络的含噪声点阵数字的识别程序，采用VC编写，可用于神经网络学习，也是一个实用的数字识别系统。-BP network with digital noise lattice identification procedures used to prepare VC, Neural networks can be used for learning, as well as a practical digital identification system.
fdp5final
- Face Detection System Face Detection using gabor feature extraction and neural networks
HandwrittenDigitaRecognition
- A Multi-layer Quantum Neural Networks Recognition System for Handwritten Digital Recognition,介绍手写字符识别的文章
Character_Recognition_Using_Neural_Networks
- Character Recognition Using Neural Networks Steps to use this GUI. 1. Open the GUI figure, run it. (accept the matlab to change its directory to new location where the file is stored) 2. First we need to teach Character to computer. For this ty
bp模型
- BP神经网络对字母进行识别， 值得收藏-BP neural networks to identify letters, copies
LPRecognizer.rar
- 车牌识别，神经网络，识别率高达95％，定位准确。,License plate recognition, neural networks, recognition rate as high as 95 percent, positioning accuracy.
regnize
- 实现0-9个手写数字的识别 使用了多种方法：最近邻、势函数、神经网络、贝叶斯分类器-To achieve recognition handwritten digits 0-9 using a variety of methods: the nearest neighbor, potential function, neural networks, Bayesian classifier
License-Plate-Recognition-java
- 这个项目涉及了人工智能、机器视觉和神经网络等领域，实现一个车牌自动识别系统(ANPR)。它包括了一系列的数学算法原理，以保证数字车牌的检测与提取、字母分割、归一化和识别-This project involves the artificial intelligence, machine vision and neural networks in the field, the realization of a license plate recognition system (ANPR). It
imagerec
- 车牌定位与识别系统,对图像处理和模式识别毕业设计有参考价值，VC实现图像预处理，特征提取，以及神经网络识别。-License plate location and recognition system for image processing and pattern recognition graduated design reference value, VC achieve image preprocessing, feature extraction, and neural network
PatternClassificationenglish
- 模式识别经典书籍。清晰地阐明了模式识别的经典方法和新方法，包括神经网络，随机方法，遗传算法以及机器学习理论。-Pattern Recognition classic books. Spell out the classic pattern recognition methods and new methods, including neural networks, stochastic methods, genetic algorithms and machine learning theory
analgorithmforextractionandanalysis
- 摘要图像特征的提取是视觉图像识别的重要方法之一，采用细胞神经网络（&’’）并行处理器进行图像特征的提取 具有实时快速的优点。该文将介绍&’’ 并行处理器的基本工作原理及其实现图像特征处理的逻辑组合通用方法，并以 图像的纹理分割与识别为例来说明&’’ 并行处理器应用于视觉图像识别的通用编程方法。-Abstract image feature extraction is a visual image to identify one of the important ways, the use
OpticalCharacterNeuralNetwork
- 文章和附件代码教你如何使用人工智能的神经网络开发一个简单的光学字符识别(OCR)应用程序，程序可以获得非常高质量的识别率和性能。-Creating Optical Character Recognition (OCR) applications using Neural Networks How the use of neural network can simplify coding of OCR applications.
fdp5final
- Face Detection System 基于Gabor特征提取和人工智能的人脸检测系统源代码 使用步骤： 1. 拷贝所有文件到MATLAB工作目录下(确认已经安装了图像处理工具箱和人工智能工具箱) 2. 找到"main.m"文件 3. 命令行中运行它 4. 点击"Train Network"，等待程序训练好样本 5. 点击"Test on Photos"，选择一个.jpg图片，识别。 6. 等待程序检测出人脸区域
neural-network
- 基于神经网咯的文字识别系统，其中源代码是识别程序的，另一个是矩阵类库的。-Text recognition system based on neural networks, in which source code is the identification procedures, and the other is a matrix class library.
neural-network
- 指出了传统边缘检测算子算法的不足,提出了一种利用基于BP神经网络的数字图像边缘检 测算法,即利用传统边缘检测算子检测出来的图像中像素的灰度的不同比例作为学习训练图像,进行神经网络的学习训练,改变神经网络的结构参数得到神经网络的模型参数,最后给出了BP神经网络实现图像边缘检测的实验研究结果。从实现中可发现,将人们关于边缘特征的先验知识包含在内进行数字图像的边缘检测,能够取得比较好的效果-The paper points out the limitation of the traditional