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shuzishibie
- matlab图像处理的数字识别,其中调用了两个函数,需要自己写的,运用bp神经网络来识别的!-MATLAB image processing digital identification, which calls the two functions, need to write their own, the use of BP neural network to identify!
chapter29
- 《MATLAB 神经网络个案例分析》,可以实现对图像进行分割,去噪,识别和分类。-" MATLAB neural network 43 case studies" can be achieved on image segmentation, de-noising, identification and classification.
bp2
- 1 输入向量和目标向量 2 构造神经网络(训练) 3对测试图像进行识别 -1 input vector and the target vector 2 construct neural network (training) 3 images of the test for identification
hv877
- 使用拉亚普诺夫指数的公式,利用matlab针对图像进行马氏距离计算 ,BP神经网络用于函数拟合与模式识别。- Raya Punuo Fu index using the formula, Using matlab to calculate the Mahalanobis distance for the image, BP neural network function fitting and pattern recognition.
BP
- BP神经网络实现图像识别,批量输入图像得到识别结果。-BP neural network to achieve image recognition function code, the input image to be recognized correctly.
qaotui_v85
- 基于matlab GUI界面设计,用于图像处理的独立分量分析,使用拉亚普诺夫指数的公式,BP神经网络用于函数拟合与模式识别,滤波求和方式实现宽带波束形成,GPS和INS组合导航程序。 - Based on matlab GUI interface design, Independent component analysis for image processing, Raya Punuo Fu index using the formula, BP neural network functi
bi802
- 用于图像处理的独立分量分析,阐述了负荷预测的应用研究,BP神经网络用于函数拟合与模式识别。- Independent component analysis for image processing, It describes the application of load forecasting, BP neural network function fitting and pattern recognition.
monitor-recorder
- SeetaFace人脸识别引擎包括了搭建一套全自动人脸识别系统所需的三个核心模块,即:人脸检测模块SeetaFace Detection、面部特征点定位模块SeetaFace Alignment以及人脸特征提取与比对模块SeetaFace Identification。 主要功能: 人脸检测模块(SeetaFace Detection): 采用了一种结合传统人造特征与多层感知机(MLP)的级联结构,在FDDB上达到了84.4 的召回率(100个误检时),并可在单个i7
kang_sy23
- BP神经网络用于函数拟合与模式识别,仿真图是速度、距离、幅度三维图像,数学方法是部分子空间法。- BP neural network function fitting and pattern recognition, FIG simulation speed, distance, amplitude three-dimensional image, Mathematics is part of the subspace.
ImageClassification-master
- 在这个项目中,我们的目标是建立一个识别和大小231x231图像呈现对象分类系统。我们得到了一组训练图像,每四个标签之一:1飞机;汽车2;3马,否则。我们提供了两个特点:一是方向梯度直方图(HOG),其尺寸为5408;另一个是overfeat ImageNet美国有线电视新闻网的特点,其尺寸37000。关于测试图像,我们只给出了每个图像的功能,没有标签,结果判断由平地机。我们的目标是提供二进制和多个预测。平衡错误率(BER)是我们的性能评估。为了解决这个问题,我们首先减少PCA的问题的维数,处理不
pouyie_v14
- 实现了图像的灰度化并进一步用于视频监视控,BP神经网络用于函数拟合与模式识别,用于建立主成分分析模型。- Achieve a grayscale image and further control for video surveillance, BP neural network function fitting and pattern recognition, Principal component analysis model for establishing.
ky741
- 搭建OFDM通信系统的框架,BP神经网络用于函数拟合与模式识别,图像的光流法计算的matlab程序。- Build a framework OFDM communication system, BP neural network function fitting and pattern recognition, Image optical flow calculation matlab program.
xkdvm
- BP神经网络用于函数拟合与模式识别,图像的光流法计算的matlab程序,使用拉亚普诺夫指数的公式。- BP neural network function fitting and pattern recognition, Image optical flow calculation matlab program, Raya Punuo Fu index using the formula.
rx466
- 包括压缩比、运行时间和计算复原图像的峰值信噪比,实现了对10个数字音的识别程序基于人工神经网络的常用数字信号调制。- Including compression ratio, image restoration computing uptime and peak signal to noise ratio, Realization of 10 digital audio recognition program The commonly used digital signal modulation
DPL-CNN
- 最新的基于卷积神经网络和字典对分类器的图像识别与分类算法资料-Image recognition and classification algorithm based on convolution neural network and dictionary classifier
yr333
- BP神经网络用于函数拟合与模式识别,计算十字叉丝的在不同距离的衍射图像,用于信号特征提取、信号消噪。- BP neural network function fitting and pattern recognition, Calculation crosshairs diffraction image at different distances, For feature extraction, signal de-noising.
dxwyv
- BP神经网络用于函数拟合与模式识别,在MATLAB中求图像纹理特征,包括轨道机动仿真、初轨计算。- BP neural network function fitting and pattern recognition, In the MATLAB image texture feature, Including orbital maneuvering simulation, initial orbit calculation.
if538
- BP神经网络用于函数拟合与模式识别,基于SVPWM的三电平逆变的matlab仿真,包括压缩比、运行时间和计算复原图像的峰值信噪比。- BP neural network function fitting and pattern recognition, Based on SVPWM three-level inverter matlab simulation, Including compression ratio, image restoration computing uptime and
nie_mv63
- BP神经网络用于函数拟合与模式识别,毕设内容,高光谱图像基本处理,信号维数的估计。- BP neural network function fitting and pattern recognition, Complete set content, basic hyperspectral image processing, Signal dimension estimates.
NN_tutorial
- 人工神经网络是深度学习的基础,并在图像识别上应用非常多。本代码内容是一个经典的BP网络,S1和S2分别表示中间层和输出层的神经元个数,学习3幅不同类型的图像并输出。-Artificial neural networks are the basis of deep learning and are used in image recognition. The contents of this code is a classic BP network, S1 and S2, respectively