资源列表
贝叶斯决策实现线性样本分类
- MATLAB语言编程,用贝叶斯决策算法实现线性样本分类,输入待分类样本,输出样本分类决策面。(MATLAB programming language, using Bayesian decision algorithm to achieve linear sample classification, input samples to be classified, output samples, classification, decision surface.)
MCM
- 划分预测对象状态 : 根据预测的目的划分 计算初始概率 : 根据历史数据计算状态概率 计算状态转移概率,构造转移概率矩阵P 根据转移概率进行预测,Pij 表示由状态 i 转移到状态 j 的概率 按最大可能性作为选择原则:选择(Pj1,Pj2,…, PjN )中最大者为预测结果。 计算状态转移概率时,最后一个数据不参加计算(To predict the state of an object: divide it according to the purpose of prediction
TSP问题
- 用遗传算法求解TSP问题,文件比较全面,可以直接运行,或者自己改变输入(solve the TSP by ga)
emd
- 经验模态分解 是一种针对非线性、非平稳振动信号的处理方法(Empirical mode decomposition is an approach to nonlinear and non-stationary vibration signals)
ThreePhase_ACDCAC_PMWconverter
- 基于电源的三相PWM VSC SimPowerSystems模型(SimPowerSystems model of a three-phase PWM VSC-based power supply)
fft
- 在MATLAB中用FFT 方法求信号的频谱(Finding spectrum by FFT)
hui_xi26
- Genetic algorithm based reactive power optimization, Dimensional phononic crystals FDTD method calculation examples band gap, STM32 all the information produced by the MP3.
surf
- 用简单的excel数据在matlab中画出三维图(Draw the surf diagram in MATLAB with simple Excel data)
VPMCD
- Raghuraj 与 Lakshminarayanan提出了基于特征值内相互关系建立预测模型,用于识别的模式识别方法——多变量预测识别模型(Variable Predictive Mode Based Class Discriminate, VPMCD),并应用于生物学的模式识别中。VPMCD利用参数估计来建立预测模型,极大地减少了计算量,缩短了模型的训练时间。vpmcd5_revise为主函数,sec2_5_revise为训练函数(Variable Predictive Mode Based
程序
- 改程序可用于模拟凝固,再结晶,塑性变形微观组织演化(cellular compute_wait)
cf
- 元胞自动机,forest fire,Conway's life with GUI(cellular automaton forest fire Conway's life with GUI)
untitledkaerman - 副本
- 卡尔曼滤波用于状态估计和滤波处理有比较好的效果(Calman filtering is used for state estimation and filtering processin)