资源列表
newton-nn-quadr
- newton non quadratic
CFM_EV
- 通过积分公式计算极值I型概率分布的累计分布函数-Extreme type I probability distribution with integral formulas of the cumulative distribution function
CFM_Gumbel
- 通过积分公式计算Gumbel概率分布的累计分布函数-Gumbel probability distribution with integral formulas of the cumulative distribution function
CFM_P3
- 通过积分公式计算皮尔逊III型概率分布的累计分布函数-Pearson type III probability distribution with integral formulas of the cumulative distribution function
MonteCarlo_Estimate
- 对极值样本拟合的参数进行蒙特卡洛寻优，确定最优的参数值-Extreme sample fitting parameters for Monte Carlo optimization and to determine the optimal parameter values
30-case-analysis-of-neural-network
- 主要描述BP神经网络、SVM 的数据分类预测、Elman神经网络的数据预测粒子群优化算法的寻优算法、遗传算法优化计算等书中详细介绍了每种源程序代码及编写规范。-Mainly describes the classification of data with BP neural network and SVM prediction, Elman neural network data prediction particle swarm optimization algorithm optimiza
Principle-of-neural-network
- 详细介绍了神经网络的原理及学习过程、径向基函数的选择及支持向量机的原理、前馈过程神经网络的时序处理及神经网络动态规划，有助于初学者深入了解神经网络的工作原理及运行机制。-Described in detail the neural network principle and learning process, radial basis function selection and support vector machine principle, feedforward process neur
test
- 简单的试凑法，实现一阶系统的PID参数整定，输入为单位阶跃响应-simple expert PID control
weibull-distribution
- 可靠性分析，weibull分布极大似然参数估计和曲线拟合-reliability analysis，weibull distribution
expFenbu
- 指数分布极大似然估计法进行参数估计和曲线拟合-exponential distribution MLE
BOOTSDTRAP-WEIBULL
- 采用BOOTSTRAP方法对weibull分布进行参数的区间估计和MTBF的区间估计-bootstrap weibull distribution interval estimation
expbootstrap
- 采用bootstrap方法对指数分布进行参数和MTBF的区间估计-interval estimation exponential distribution bootstrap