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数字时钟keil c
- keil c数字时钟源程序 简单好用，加了详细注释。在keil c下-keil the c numeral clock source program simple was easy to use, added the detailed annotation. In keil c next
therecignitionofnumberbypipei
- 本程序是一个利用模板匹配法进行手写数字识别的程序,待识别的样本是0~9几个数字,内容包括位图的读写,细化方法,模板的建立等-this procedure is the use of a template matching method handwritten numeral recognition procedures question identify the sample was 0 ~ 9 figures, including bitmap literacy, refining metho
ZIMOLZY
- 8×8，16×16，至256×256大小的各种字体的字母，数字，汉字点阵字库提取程序,支持C51和汇编格式,232通信发送二进制文件,能把所生成的字库数据通过232串口发送出去,不用任何协议,方便单片机调试。-8脳8, 16脳16, to 256脳256 the size each kind of typeface letter, the numeral, the Chinese character lattice fonts withdraws the procedure, support
codeofvhdl2006
- 【经典设计】VHDL源代码下载～～ 其中经典的设计有：【自动售货机】、【电子钟】、【红绿灯交通信号系统】、【步进电机定位控制系统】、【直流电机速度控制系统】、【计算器】、【点阵列LED显示控制系统】 基本数字逻辑设计有：【锁存器】、【多路选择器】、【三态门】、【双向输入|输出端口】、【内部（缓冲）信号】、【编码转换】、【加法器】、【编码器/译码器】、【4位乘法器】、【只读存储器】、【RSFF触发器】、【DFF触发器】、【JKFF触发器】、【计数器】、【分频器】、【寄存器】、【状态机】
24Points-JavaVer
- 加减乘除24,java的GUI界面,输入的数字在1-13的范围内,产生的结果中已去除了冗余的结果,并统计产生结果的个数.- The arithmetic operations 24, java GUI contact surface, the input numeral in 1-13 scope, in the result which produces has removen the redundancy result, and the statistics has the result
20058111241
- 联机手写数字识别,希望对学习数字图象处理的人有所帮助.-on-line handwritten numeral recognition, and I hope to learn digital image processing of some help.
numberreconigzition
- 一款手写数字识别系统，不错哦！学习的参考-A handwritten numeral recognition, it is true! Learning reference
binary2bcd
- This build is for developing a \"binary-to-BCD\" converter for use in // displaying numerals in base-10 so that people can read and interpret the // numbers more readily than they could if the numbers were displayed in // binary or hexadecimal
Phoneime
- PhoneIme is a sample that shows how to create your own Input Method for Smartphone. It implements multitap and numeral entry. -PhoneIme is a sample that shows how to creat e your own Input Method for Smartphone. It imple ments multitap and numera
digital_recogonizer
- 神经网络进行手写数字识别： 本程序是BP算法的演示程序, 其中的Levenberg-Marquardt算法具有实用价值. 带有图形界面-neural network handwritten numeral recognition : this program is the BP algorithm Demonstration Program, The Levenberg-Marquardt algorithm is practical value. with a graphical in
shouxieshibie
- 支持手写数字识别及训练的程序源码，可以训练识别0-9的数字，有图形界面。-support handwritten numeral recognition and training program source code, can be trained to identify the figures 0-9, graphics interface.
Demo-Mnist
- 基于神经网络的手写数字识别的源代码，绝对能够正常编译并运行！-based on neural network handwritten numeral recognition of the source code is absolutely normal to compile and run!
DynSplitNum
- 数字识别源代码,能识别识别手写的数字.其中包括模板匹配等算法.-numeral recognition source code, the ability to recognize handwriting recognition figures. Including template matching algorithm.
NearestRecognation
- 程序实现了.net环境下，C++语言的手写数字识别，程序对手写数据进行了去边框处理，采用最近邻法进行了分类-achieved with the program. Net environment, the C language handwritten numeral recognition, procedures for handwritten data to the frame, using nearest neighbor method of classification
adapterSystemPaper
- 论文标题:自适应模糊系统在手写体数字识别中的应用研究 作者:张镭 作者专业:计算机软件人工智能 导师姓名:黄战 授予学位:硕士 授予单位:暨南大学 授予学位时间:19990501 论文页数:59页 文摘语种:中文文摘 分类号:TP18 TP391.4 关键词:手写体数字 自适应 模糊逻辑 神经网络 模式识别 摘要:该文针对模式识别的特点,构造了适合于模式识别问题的自适应模糊系统,对三种不同学习算法加以改进,在手写全数字识别上对分类器进行了实现,
DS18B20.numeral.temperature.sensor.to.measures.war
- 本代码是关于DS18B20数字温度传感器测温，请注意调试查收。-code on the digital temperature sensor DS18B20 temperature, note please find debugging.
simplecharrec
- 基于BP神经网络的手写体数字识别程序，使用matlab开发-based Neural Network handwritten numeral recognition, the use of Matlab development
20070518julei
- 手写数字识别程序，有可执行文件可直接运行、完整的源程序，通俗易懂-handwritten numeral recognition procedures, executable files can run, integrity of the source, accessibly
lianjishuziyingwenhanzideshibie
- 这个程序是在手写数字识别的基础上扩展的.目前只能判断写的比较规范的字.-the procedure is in a handwritten numeral recognition on the basis of expansion. At present, only the judgment was made fairly standard characters.
shouxieshuzishibiedeFisherpanbie
- 脱机字符识别需要建立手写样本库,但由于作者水平有限,就不介绍实例了.这是脱机字符识别中的手写数字识别的Fisher判别.-Offline Character Recognition need handwriting sample database, but because the author is limited, and not on the case. This is offline character recognition of handwritten numeral recognit