搜索资源列表
-
0下载：
针对传统的ＢＰ或ＧＡ对模糊神经网络的识别应用存在收敛容易陷入局部极小 识别率低下等问题 提出一
种基于ＢＦＧＳ的混合遗传算法 其基本思想为 首先构造一种前馈型模糊神经网络结构 然后用遗传算法进化若干代
后 当目标函数的梯度或者范数小于预先设定值 则改用ＢＦＧＳ算法进行优化识别 仿真实验表明 对比ＧＡ该算法
收敛速度较快 识别精度提高了约７％ 能够较好地应用于一类模糊神经网络的识别-In traditional BP or GA to identify the application
-
-
0下载：
基于Mel频率倒谱系数和遗传算法的煤矸界面识别研究-Recognition of gangue interface Mel Frequency Cepstral Coefficients and Genetic Algorithm
-
-
0下载：
相位谱分析技术的人睑识别系统的识别结果相位谱分析技术的^睑识别系统的识别结果-Results of phase spectrum analysis techniques to identify people eyelid recognition system recognition result of the phase spectrum analysis technology ^ eyelid recognition system
-
-
0下载：
In this paper,we address the effect of illumination on the face detection and the face recognition problem by introducing a novel illumination invariant method, called OptiFuzz. It is an optimized fuzzy-based illumination invariant method to solve th
-
-
0下载：
人脸识别中的光照处理方法，用MATLAB编写的遗传算法路径规划，空间目标识别，采用PM算法。- Face Recognition light treatment method, Genetic algorithms using MATLAB path planning, Space target recognition algorithm using PM.
-
-
0下载：
复化三点Gauss-lengend公式求pi，通过反复训练模板能有较高的识别率，用MATLAB编写的遗传算法路径规划。- Complex of three-point Gauss-lengend the Formula pi, Through repeated training bRFIoJwlate have higher recognition rate, Genetic algorithms using MATLAB path planning.
-
-
0下载：
用MATLAB编写的遗传算法路径规划，阵列信号处理的高分辨率估计，通过反复训练模板能有较高的识别率。- Genetic algorithms using MATLAB path planning, High-resolution array signal processing estimates, Through repeated training CeUyWeflate have higher recognition rate.
-
-
0下载：
仿真效果非常好，可以实现模式识别领域的数据的分类及回归，用MATLAB编写的遗传算法路径规划。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Genetic algorithms using MATLAB path planning.
-
