搜索资源列表
Robotic
- 这是一个能解决一系列机器人手运动学和动力学 方程的matlab符号工具箱。-This is a robot hand to solve a series of kinematic and kinetic equation symbols of Matlab Toolbox.
SGA40
- 用标准遗传算法解决电力系统最优化问题，粒子使用的是40个节点的大规模计算问题-Using standard genetic algorithm to solve power system optimization problems, particle using 40 nodes of a large-scale computing problems
SHORTPATHmatlab
- Dijkstra算法与Floyd算法的matlab实现，以求解最短路问题-Dijkstra algorithm and Floyd algorithm matlab realize in order to solve the shortest path problem
panduan
- 判断微分方程是否为病态方程，分别用定步长、变步长和适合病态系统的数值积分方法对系统求解，并与解析解进行对比，分析每种方法的求解精度和速度。-To determine whether the pathological differential equations, were used to set step, variable step size and suitable for pathological system numerical method for solving the system
selfadapting2
- 一个自适应控制方面的Simulink程序，主要解决无模型自适应（MFA）控制的问题-Adaptive control of a Simulink procedures, mainly to solve the model-free adaptive (MFA) control
mianyi
- 基于信息熵的免疫算法，解决TSP问题的，但是我也是初学，这个看不太明白，共享一下吧-Entropy-based immune algorithm to solve TSP problem, but I am also a beginner, do not quite understand this view, share yourself
PSO
- 这是粒子群优化算法的实现，求解多模态函数非常使用-This is the Particle Swarm Optimization algorithm to solve multi-modal function is the use of
byjc
- 对于一些图像来说，常用的边缘检测算法有时候无法设立合适的阈值将它们的梯度较小的模糊边缘检测出来。为了解决这个问题，有两种解决方法：将图像方差标准化，拉大模糊边缘的梯度值，或通过设置sigmoid函数，将像素所在区域的信息传递到梯度值中去，对其进行调整，就能找到合适阈值，有效地将模糊边缘提取出来。本程序把这两种算法实现并与与传统算法进行了比较。-For some images, the commonly used edge detection algorithm sometimes can not
LinearEquations
- Solve Linear Equations with matlab
GA_bin
- 在matlab环境下，利用遗传算法解决非线性分类问题-In the matlab environment, the use of genetic algorithms to solve nonlinear classification problems
class
- 这个是我自己编写的基于混沌自适应粒子群优化支持向量机用于分类的matlab程序，本程序以心脏病的诊断为例，得出了非常好的效果！主要贡献在于解决了支持向量机参数人为选取随意性大且效果好坏不稳定的难题！-This is what I have written based on adaptive chaotic particle swarm optimization of support vector machine for classification of matlab procedures, t
yuchou2
- 用matlab解决线性回归问题，在约束条件下求解二次回归问题的极小值-Using matlab to solve linear regression problems, in the constraint solving quadratic regression under the condition of the minimum problem
SA_TSP_Rev1
- 用matlab实现的利用模拟退火算法(SA)解决旅行商问题(TSP).-Matlab achieved with the use of simulated annealing algorithm (SA) to solve traveling salesman problem (TSP).
11
- 神经网络实例集。包括以下几个程序单层线性神经网络实例、感知器神经元解决较复杂输入向量的分类问题、基于感知器神经网络处理复杂的分类问题、数值分析程序matlab-GUI、用BP网络完成函数的逼近源程序、自组织特征映射应用实例-Examples of neural network sets. Procedures include the following examples of single-layer linear neural network, perceptron neuron input
SimulatedAnnealingAlgorithm
- matlab编制的用模拟退火算法解决0-1背包问题的具体实例-matlab prepared using simulated annealing algorithm to solve 0-1 knapsack problem specific examples of
an
- 利用模拟退火解决0-1背包问题，适合初学者。-The use of simulated annealing to solve 0-1 knapsack problem, suitable for beginners.
an-for-tsp
- 利用蚁群算法解决tsp问题，适合初学者。-Tsp using ant colony algorithm to solve the problem, suitable for beginners.
ga-for-tsp
- 利用遗传算法解决50个城市tsp问题，适合初学者。-The use of genetic algorithm to solve the issue of 50 cities tsp, suitable for beginners.
sa-for-tsp
- 利用模拟退火算法解决50个城市的tsp问题，简单易懂，适合初学者-The use of simulated annealing algorithm to solve 50 problems tsp city, easy-to-read, suitable for beginners
HopfieldTsp
- 用MatLab，编写用Hopfield网络求 解TSP问题（旅行商问题）的程序(城市 数目≥5)-Using MatLab, prepared using Hopfield network to solve TSP problem (TSP) process (the number of cities with ≥ 5)