资源列表
HopField
- 根据HopField神经网络相关知识，该案例实现数字识别-According to the HopField neural network knowledge, the case realize digital identification
SVM_Classify
- 利用支持向量机相关知识，实现意大利葡萄酒种类识别-Using the knowledge of the support vector machine (SVM), The case relize Italian wine species identification
SVM
- SVM（support vector machine ）是支持向量机，是一种可以训练的机器学习方法
jc
- 电机状态检测与故障诊断的matlab算法原理与代码，包含数据-Matlab algorithm principle and code, including the data of motor state detection and fault diagnosis
MatlabFKmeans
- 使用matlab实现模糊聚类K-means算法的过程程序 有详细的说明-Use matlab fuzzy clustering K-means algorithm of the program is described in detail
LinWPSO
- 用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
SelPSO
- 用基于选择的粒子群优化算法求解无约束优化问题-With selection based on PSO algorithm for solving constrained optimization problems
SimuAPSO
- 用基于模拟退火的粒子群优化算法求解无约束优化问题-With optimization algorithm based on simulated annealing Particle Swarm unconstrained optimization problems
Unconstrained--extreme-value-problem
- 无约束一维极值问题用来确定求解极小值的搜索空间的算法-Algorithms Unconstrained one dimensional extremum problem solving to determine the minimum value of the search space
LnCPSO
- 用学习因子同步变化的粒子群优化算法求解无约束优化问题-Changes in synchronization with the learning factor PSO algorithm for solving constrained optimization problems
RandWPSO
- 用随机权重粒子群优化算法求解无约束优化问题-Heavy Particle Swarm Optimization with Random Weight unconstrained optimization problems
mpc
- 模型预测控制主要包含预测模型，滚动优化，在线反馈-Model predictive control mainly includes predictive model, rolling optimization, Feedback