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中山大学ACM SICILY 1913. Slides题目代码
- 中山大学ACM SICILY 1913. Slides题目代码-Sun Yat-sen University ACM SICILY 1913. Slides subject code-Sun Yat-sen ACM SICILY 1913. Slides subject code-Sun Yat-sen University ACM SICILY 1913. Slides subject code
Xor_new
- 不需要MATLAB神经网络工具箱 通过BP网络实现异或功能-No kit achieved by BP differences or features
ceshiyong
- 此是matlab的另一套测试用的代码，对于深入探测神经网络者非常有用，大家试验之。-This is another set of tests used in the matlab code, very useful for in-depth probe neural network, we test the
huanghou
- 用回溯法求解N-Queen，用键盘输入N；输出此时解的个数，并统计运算时间。 -Solved by backtracking N-Queen, with keyboard input N the number of solutions of output at this time, and statistical computation time.
Gauss_seidel
- Gauss_Seidel numeric method
THQ1_fuzzy
- PID code design using fuzzy logic
face
- 读取excel文件，根据其中的坐标复原表面的轮廓的信息-Read the excel file, according to the coordinates on the surface of the restoration contour information
zdjg
- 自己编写的一个，小型的最大间隔法求二分类问题的程序。-I have written a small maximum interval Method to solve two classification procedures.
example2
- BP神经网络的一个例子，新手可以学习。有详细训练过程，最后还有能量曲线输出。-an example for BP net
a1
- 学习模式识别的基本知识，经典的贝叶斯分类器，已经测试通过-Learn the basics of pattern recognition, the classic Bayesian classifier has been tested by
monicuihuosuanfa
- 不同算法求解经典八皇后问题。经典问题求解算法之模拟淬火算法。-Different algorithms to solve the classic problem of eight queens. Classic problem-solving algorithm of simulated quenching algorithms.
RLS
- 仿真对象如下： 其中， v( k )为服从N (0,1) 分布的白噪声。输入信号u ( k) 采用M 序列，幅度为 1。M 序列由 9 级移位寄存器产生，x(i)=x(i-4)⊕x(i-9)。 选择如下辨识模型： 加权阵取Λ = I。 衰减因子β = 0.98，数据长度 L = 402。 辨识结果与理论值比较，基本相同。辨识结果可信 -he simulation object is as follows: among them, v (k) to obe