资源列表
001
- BP神经网络的MATLAB仿真 显示学习逼近和学习曲线(BP Artificial Neural Network)
bayes
- 贝叶斯算法预先对训练集训练分类，输入测试集进行判断类别。(The Bias algorithm trains the training set in advance, classifying it into the test set and classifying it.)
pcaQT2
- 使用matlab计算pca中的T2统计量和Q统计量(Calculate T2 statistic and Q statistic in pca using matlab)
shuangtui_guihua
- 利用三次样条插值法对双腿机器人行走进行步态规划(plan the straight gait trajectory using cubic spline interpolation)
qidong_guihua
- 利用三次样条插值方法对双腿机器人在启动阶段进行步态规划(plan the straight gait trajectory using cubic spline interpolation in starting stage for humanoid robot)
tingzhi_guihua
- 对双腿机器人正常行走后停止阶段的关节角的规划(Planning of the joint angle of the stopping stage of the two-legged robot after normal walking)
互信息法求延迟时间
- 自编通过互信息法求取混沌时间序列的延迟时间，亲测可用，压缩包内两个函数需要互相调用一下，可自行修改(The delay time of chaotic time series can be calculated by mutual information method, which can be used for personal measurement. The two functions in the compressed packet need to be called each othe
grid method
- 随机产生一个带有障碍物的20*20的栅格用于路径规划(Random generation of a 20*20 grid with obstacles for path planning)
SIR模型
- 真实网络条件下的sir模型，进行传播预测(Sir model under real network conditions)
Ode程序
- 主要用于多智能体系统数值仿真，采用MATLAB中ode45函数解线性微分方程组(It is mainly used in the numerical simulation of multi-agent system. The ode45 function in MATLAB is used to solve linear differential equations.)
SOA
- 人群搜索算法，是2008年新提出的一种群智能优化算法，其全局收敛能力很强(An intelligent optimization algorithm with strong global convergence)
适用量子粒子群算法
- 适用量子粒子群算法获得所需的最优值，可以依概率收敛到全局最优，能有效求解复杂优化问题(Quantum Particle Swarm Optimization (QPSO) can be applied to obtain the desired optimal value, which can converge to the global optimum according to probability, and can effectively solve complex optimizatio