代码搜索：数字识别

找到约 10,000 项符合「数字识别」的源代码

代码结果 10,000
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c 小写数字转换成大写数字1.c

#include #include #include char * floattoch(float m); static char chinese[]="零壹贰叁肆伍陆柒捌玖点"; static char ch[80]; void main() { float m; char *s; p
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www.eeworm.com/read/327496/3455268

c 小写数字转换成大写数字2.c

/*** 程序: 123.45 则输出“壹佰贰拾叁点肆伍” ***/ #include /*标准输入输出函数*/ #include /*字符串函数*/ #include void ConvertN(int n,char* &p,bool IsSequece=true); /*声明函数Convert
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www.eeworm.com/read/327496/3455269

c 小写数字转换成大写数字3.c

#include void main() { double x,y; char *ch[]={"零","壹","贰","叁","肆","伍","陆","柒","捌","玖"}; char *ch1[]={"拾","佰","仟","万","拾","佰","仟","亿"}; char num[256]; long i,n,j,m,y1; printf("input:"
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www.eeworm.com/read/101253/15839261

c 小写数字转换成大写数字1.c

#include #include #include char * floattoch(float m); static char chinese[]="零壹贰叁肆伍陆柒捌玖点"; static char ch[80]; void main() { float m; char *s; p
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www.eeworm.com/read/101253/15839262

c 小写数字转换成大写数字2.c

/*** 程序: 123.45 则输出“壹佰贰拾叁点肆伍” ***/ #include /*标准输入输出函数*/ #include /*字符串函数*/ #include void ConvertN(int n,char* &p,bool IsSequece=true); /*声明函数Convert
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www.eeworm.com/read/101253/15839263

c 小写数字转换成大写数字3.c

#include void main() { double x,y; char *ch[]={"零","壹","贰","叁","肆","伍","陆","柒","捌","玖"}; char *ch1[]={"拾","佰","仟","万","拾","佰","仟","亿"}; char num[256]; long i,n,j,m,y1; printf("input:"
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www.eeworm.com/read/100753/15865208

c 小写数字转换成大写数字1.c

#include #include #include char * floattoch(float m); static char chinese[]="零壹贰叁肆伍陆柒捌玖点"; static char ch[80]; void main() { float m; char *s; p
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www.eeworm.com/read/100753/15865209

c 小写数字转换成大写数字2.c

/*** 程序: 123.45 则输出“壹佰贰拾叁点肆伍” ***/ #include /*标准输入输出函数*/ #include /*字符串函数*/ #include void ConvertN(int n,char* &p,bool IsSequece=true); /*声明函数Convert
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www.eeworm.com/read/100753/15865210

c 小写数字转换成大写数字3.c

#include void main() { double x,y; char *ch[]={"零","壹","贰","叁","肆","伍","陆","柒","捌","玖"}; char *ch1[]={"拾","佰","仟","万","拾","佰","仟","亿"}; char num[256]; long i,n,j,m,y1; printf("input:"
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www.eeworm.com/read/391535/8398013

txt 使用说明.txt

使用说明 第一步：训练网络。使用训练样本进行训练。（此程序中也可以不训练，因为笔者已经将训练好的网络参数保存起来了，读者使用时可以直接识别） 第二步：识别。首先，打开图像（256色）；再次，进行归一化处理，点击“一次性处理”；最后，点击“R”或者使用菜单找到相应项来进行识别。识别的结果显示在屏幕上，同时也输出到文件result.txt中。 该系统的识别率一般情况下为90%。 ...
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