资源列表
层次分析法的matlab程序
- 层次分析法(The analytic hierarchy process)简称AHP，在20世纪70年代中期由美国运筹学家托马斯·塞蒂(T.L.Saaty)正式提出。它是一种定性和定量相结合的、系统化、层次化的分析方法。(The analytic hierarchy process (AHP) was formally proposed in The mid-1970s by American operational research scientist T.L.S. aaty. It is a
BP ppt
- 这个PPT中含有BP神经网络的讲解以及应用，有助于深入了解(The explanation and application of the BP neural network in this PPT will help us to get a deep understanding of it.)
Hand_num
- 基于神经网络及GUI触摸板的手写数字识别，基本的机器学习例子(Handwritten numerals recognition based on neural network and GUI touch board, basic machine learning examples)
数值分析
- 数值分析实验课程序，包括插值、辛普森公式、高斯等(Numerical analysis experiment course program, including interpolation, Simpson formula, Gauss and so on)
数学建模 规划类资料整理及例子
- 数学建模matlab规划类例子，包括线性规划、整数规划、目标规划、非线性规划等(Examples of mathematical modeling matlab planning, including linear programming, integer programming, goal programming, nonlinear programming, etc.)
一、二阶海杂波谱仿真图
- 一、二阶海杂波谱仿真图，通过傅里叶分解与Bragg谐振散射原理进行模拟(One or two order sea clutter spectrum simulation diagram)
ga
- 线性函数最优解的遗传算法计算方式（可用于建模）(Linear function optimal solution genetic algorithm.)
ga2
- 非线性函数最优解的遗传算法（可应用于数学建模）(Genetic algorithm for optimal solutions of nonlinear functions (applicable to mathematical modeling))
Mittag-Leffler函数的Matlab计算程序
- 在整数阶线性系统中，e指数函数是描述解析解的重要函数，在分数阶系统中e指数函数的扩展——Mittag-Leffler函数是特别重要的。该文件是Mittag-Leffler函数的Matlab计算程序。(In integer linear systems, the e exponent function is an important function to describe the analytical solution. In the fractional order system, the e
l3_simulated_annealing_algorithm
- 模拟退火算法MATLAB程序（寻找最佳路径的优化方式）(Simulated annealing algorithm MATLAB (search for optimal path optimization))
FPGA_hslogic_face
- FPGA代做，通过matlab实现PCA人脸识别算法，并计算识别率(n the FPGA generation, the PCA face recognition algorithm is realized by MATLAB and the recognition rate is calculated.)
BYS10
- 贝叶斯学习算法The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.(The inference model based on Bayesian Network is discussed and the algorithm based on the model is presented.)