当前位置：
首页 资源下载
搜索资源 - recognition digits
搜索资源列表
-
0下载：
MATLAB 神经网络用于数字识别源程序，可以很好的识别数字，Digits Recognition有说明-MATLAB neural network for digital identification of the source code, you can identify the number of good, Digits Recognition described
-
-
0下载：
Neural Networks at your Fingertips.rar
===============
Network: Adaline Network
===============
Application: Pattern Recognition
Classification of Digits 0-9
Author: Karsten Kutza
Date: 15.4.96
Reference: B. Widrow, M
-
-
0下载：
An Efficient Feature Extraction Algorithm for
the Recognition of Handwritten Arabic Digits
-
-
0下载：
This directory contains the original version of the database
"Optical recognition of handwritten digits" by E.Alpaydin and
C.Kaynak, Department of Computer Engineering, Bogazici University,
80815 Istanbul, Turkey.
-
-
0下载：
-
-
0下载：
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
-
-
2下载：
针对10个手写数字的识别问题，设计了一个BP神经网络，使它能够正确识别10个数字。-Against the 10 handwritten numeral recognition problem, a BP neural network is designed so that it can correctly identify the 10 digits.
-
-
0下载：
图象处理 模式识别 多种分类方法(最临近匹配分类器、Bayes分类器、线性函数分类、非线性函数分类、神经网络分类)识别0-9数字 手写数字与数字图片,包括设计训练样品库、可以选择多种分类器来识别识别0-9这十个阿拉伯数字，包括临时手写的数字，也包括图片中的数字
-Pattern recognition image processing a variety of classification (the most close to matching classifier, Bay
-
-
1下载：
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
-
-
0下载：
Matlab binary digits for handwritten character recognition
-
-
0下载：
手写数字识别的几种算法 c 源码，希望对大家有所帮助-Several handwritten numeral recognition algorithm c source code, we want to help
-
-
0下载：
Java写的手写数字识别软件，简单实现对手写数字的识别。-Java software is written in handwriting digit recognition, simple implementation of handwritten digits recognition.
-
-
2下载：
采用BP神经网络对手写体数字进行识别。识别相当方便有效快捷-Using BP neural network to recognize handwritten digits. Very easy to identify effective and efficient
-
-
1下载：
手写数字识别数据集，MNIST，包括原始数据集的所有样本，以及抽取的2000个样本的子集，.mat格式。美国著名数据集NIST的子集，模式识别常用实验数据集-handwritten digits recognition ,dataset, MNIST from NIST, .mat file,
-
-
0下载：
介绍了基于SVM的手写体数字识别，是一篇不错的期刊文章-To introduce handwritten digit recognition based on SVM is a good journal articles
-
-
0下载：
用BP算法设计分类器，实现对UCI 机器学习数据库中0-9 这10 个手写体数字的训
练和测试。-BP algorithm designed classifier, to achieve the UCI machine learning database 0-9 10 handwritten digits training and testing.
-
-
0下载：
用Skeletonization剪枝方法精简BP神经网络结构，提高网络泛化能力，对手写数字进行识别。-Skeletonization pruning method using BP neural network architecture to streamline and improve the network generalization ability of the handwritten digits recognition.
-
-
0下载：
基于MATLAB并利用神经网络实现对手写数字0-9十个数字的识别代码-based on MATLAB and recognition of handwritten digits 0-9 it is mean to design a simple handwritten numeral recognition system using neural network.
-
-
0下载：
本文介绍了基于MATLAB的语音识别系统，包括对语音信号的特征提取，包括语音信号的特征提取，快速傅立叶变换，离散余弦转换，线性预测分析，梅尔频率倒谱系数以及高斯混合模型。-This paper aims at development and performance analysis of a speaker dependent speech recognition
system using MATLAB® . The issues that were considered are 1
-
-
0下载：
介绍了在提取穿越次数特征、粗网格特征以及密度特征提取的基础上应用SVM进行手写体阿拉伯数字识别的方法。-Introduced the extraction across a number of features, coarse grid and density feature extraction on the basis of the application of SVM method for handwritten digits recognition.
-
