搜索资源列表
codebaseonridge
- code基于脊线采样的指纹识别算法(matlab)-code based on the ridge line sampling fingerprint identification algorithm (Matlab)
EXO4
- 用matlab实现的一个手写数字识别程序-using Matlab achieve a handwritten digital identification procedures
模式识别 matlab代码
- 模式识别 matlab代码 详见文件
immune
- 人工免疫算法的模式识别，用于故障诊断 -Pattern Recognition Artificial immune algorithm for fault diagnosis
bian1
- 最小二乘法的Matlab参数辨识程序,用于对模型的识别。-Least squares method of Matlab parameter identification program
MLPsjwl
- 用matlab实现的神经网络程序，识别样本图像A-Z，并用相应的数字0-26显示，验证识别能力和容错性。-Achieved using matlab neural network program, the the identification sample images AZ, and displayed with the corresponding figures 0-26, verify identification and fault tolerance.
gaoxiaodtw
- 2015新开发的语音和动作的运动动作的混合识别系统-According to the article in English written in MATLAB code, talk about the image is divided into foreground and rear view, again handle.
HMM隐马尔科夫语音识别
- 隐马尔科夫链在语音识别方面的运用，实现matlab的程序编写。(Hidden Markov chain in the field of speech recognition, the realization of MATLAB programming.)
中国国界和省界的SHP格式数据
- 中国地图的shpfile文件，来源于国家基础地理信息中心，可通过matlab、global mapper或者其他软件转为GMT识别的数据格式。(The shpfile file of China map comes from the national basic geographic information center. It can be converted to the data format recognized by GMT through MATLAB, global mapper
aqxsvk
- 调用百度AI开放平台动物识别API和百度百科API进行动物识别(Call Baidu AI open platform to identify API and Baidu Encyclopedia API for animal identification.)
火焰检测——matlab
- MATLAB编程源代码，对拍摄的红外图像进行火焰识别。(The flame temperature is higher, and the infrared image is darker and easy to identify. The flame is identified by this program)
盲源分离
- 盲源分离MATLAB算法仿真程序，高噪声环境下多信号元识别仿真程序(Blind source separation MATLAB algorithm simulation program, multi signal element recognition simulation program under high noise environment)
MLFR
- BP神经网络人脸识别MATLAB代码。运用MATLAB语言实现的简单人脸识别功能。(face recognition via matlab. Very easy.)
贝叶斯判决
- 假定某个局部区域细胞识别中正常w1和非正常w2 两类先验概率分别为： 正常状态：P(w1)=0.9 ； 异常状态：P（w2）=0.1 。 现有一系列待观察的细胞，其观察值为： -2.67 -3.55 -1.24 -0.98 -0.79 -2.85 -2.76 -3.73 -3.54 -2.27 -3.45 -3.08 -1.58 -1.49 -0.74 -0.42 -1.12 4.25 -3.99 2.88 -0.98 0.79 1.19 3.07 两类的类条件概率符合正态分布