搜索资源列表
MicrosoftWord5
- 算法由于提供了一个预测值,相对来说有简化.第五种方法,也就是ode45所得的精度最高尺度到了1e-18...简直可怕!一般很少有工程问题是它不能够满足的了,能够看出,解的差别在本问题里已经很明显了. -algorithm providing a predictive value, a relatively simplified. Fifth, ode45 is the highest accuracy of a scale of e-18 ... is simply terrible! it
ARMCSharp
- C#编写的AR(M)趋势预测模型函数,包括AR模型参数值计算,预测函数,还有LDLT计算三角矩阵方程函数-prepared by the AR (M) trend forecasting model function, including the AR model parameter values, the predictive function. There LDLT triangular matrix equation calculation function
guangyiyucesuanfa
- 广义预测算法MATLAB转化为VC++的程序,可用于三容水箱的数据的采集.-generalized predictive algorithm MATLAB into VC procedures can be used for three-tank of data acquisition.
mimo_gpcit
- 这是一个多入多出的广义预测控制交互式工具,使用方法与单入单出的类似。-This is a MIMO generalized predictive control interactive tools, methods and Single Input Single Output similar.
NumericalRecipesinCWilliam.H
- 本书编写了300多个实用而有效的数值算法C语言程序。其内容包括:线性方程组的求解,逆矩阵和行列式计算,多项式和有理函数的内插与外推,函数的积分和估值,特殊函数的数值计算,随机数的产生,非线性方程求解,傅里叶变换和FFT,谱分析和小波变换,统计描述和数据建模,常微分方程和偏微分方程求解,线性预测和线性预测编码,数字滤波,格雷码和算术码等。全书内容丰富,层次分明,是一本不可多得的有关数值计算的C语言程序大全。本书每章中都论述了有关专题的数学分析、算法的讨论与比较,以及算法实施的技巧,并给出了标准C语
yckz
- 最小二乘法辨识程序和预测控制程序,入门程序-Least squares identification procedures and predictive control procedures, entry procedures
ren_GPC-PID
- 广义预测控制算法仿真,通过最小二乘法对系统进行在线辨识,并与PID对比,能运行的-Generalized predictive control algorithm simulation, through the of least squares method for on-line identification system, can run
GM1-1
- 灰色预测 数学建模 预测源程序 用于数学建模灰色预测模型的源程序-The gray predictive mathematical modeling to predict the source for the mathematical modeling of the source of the gray prediction model
Logistic
- 绘制Logistic曲线方程。Logistic方程在预测学、信息科学、生物学、农学和经济学等领域都有较为广泛的应用。-Draw the logistic curve equation. Logistic equation has a more widely used in the field of predictive science, information science, biology, agronomy and economics.
libPLS_1.6
- libPLS: a Library for Partial Least Squares Regression and Discriminant Analysis-This library provides a whole set of easy-to-use functions for building partial least squares (PLS) regression (PLSR) and discriminant analysis (PLS-DA) models as well a
hsll
- 有关灰色系统理论及其应用的详细的原理介绍及具体的matlab代码实现,很适合初学者使用,及有关工程人员参考;其中包括了灰色系统概论、数据变换技术和关联分析、优势分析、累加生成数、累减生成数、均值生成数、灰色模型GM及其白化型、灰色预测、灾变预测等;其中还包括了SARS 疫情对某些经济指标影响模型、道路交通事故灰色 Verhulst 预测模型、GM(2,1)和 DGM 模型等具体原理详解及附有详细matlab代码;很适合初学者使用,及有关工程人员参考。-About the gray system
Numerical-Recipes
- 内容包括:线性方程组的求解,逆矩阵和行列式计算,多项式和有理函数的内插与外推,函数的积分和估值,特殊函数的数值计算,随机数的产生,非线性方程求解,傅里叶变换和FFT,谱分析和小波变换,统计描述和数据建模,常微分方程和偏微分方程求解,线性预测和线性预测编码,数字滤波,格雷码和算术码等。全书内容丰富,层次分明,是一本不可多得的有关数值计算的C语言程序大全。本书每章中都论述了有关专题的数学分析、算法的讨论与比较,以及算法实施的技巧,并给出了标准C语言实用程序。-Include: solving lin
codeGPC
- code source of generalized predictive control
LogisticRegression
- 该算法是实现二值Logistic回归算法。包含方差分析检验,回归系数,相关系数,剩余标准差,标准偏回归系数,点预测值,区间预测值。-The algorithm is to achieve binary Logistic regression algorithm. Included analysis of variance, regression coefficients, correlation coefficient, residual standard deviation, standard
Adams
- 数值分析解初值问题。 Step 1: 用经典4阶Runge-Kutta 法计算前3 个初值 Step 2: 用Adams 显式计算预测值 Step 3: 用同阶Adams 隐式计算校正值 -Numerical solution of initial value problem. Step 1: use a classic four order Runge- Kutta method to calculate the former three initial value S
MPC_Important
- model predictive controller code. good for general understanding how MOC works
MPC_matlab_Code
- fast way to compute model predictive controller in matlab.
siepao_v73
- 内含心电信号数据及运用MATLAB写的源代码,使用matlab实现智能预测控制算法,解耦,恢复原信号。- ECG data and includes source code written in MATLAB, Use matlab intelligent predictive control algorithm, Decoupling, restore the original signal.
fangbai_v32
- 是路径规划的实用方法,包含飞行器飞行中的姿态控制,如侧滑角,倾斜角,滚转角,俯仰角,使用matlab实现智能预测控制算法。- Is a practical method of path planning, It comprises aircraft flight attitude control, such as slip angle, tilt angle, roll angle, pitch angle, Use matlab intelligent predictive control a
pousen
- 借鉴了主成分分析算法(PCA),中介真值程度度量,基于中介真值程度度量的图像分割使用matlab实现智能预测控制算法。- It draws on principal component analysis algorithm (PCA), The true extent of the value of the intermediary measure, measure the true extent of the agency based on the value of image segment
