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immunity
- 针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模 型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫 网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定 位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数 (RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不 同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性. -Mathemati
control
- 本设计将对烘干机的温度控制予以研究。烘干机的结构虽然比较简单，但烘干过程是非线性、时变性和多变量的。在烘干过程中由于受各种不确定因素的影响，难于建立精确的数学模型。虽然自适应、自校正控制理论可以对缺乏数学模型的被控对象进行识别，但这种递推法复杂，实时性差，对烘干机水分的控制难以取得较好的控制效果。本设计将模糊控制理论最新应用于干燥的控制系统，以单片机为核心的模糊控制器将模糊逻辑语言控制策略变为有效的自动控制策略。在数字单片机上用模糊控制算法编制软件程序来实现对烘干过程的模糊控制。-This de
work
- 模拟光纤特性，绘制基模的有效折射率与归一化频率以及功率限制性因子与归一化频率的曲线。-Analog fiber optic properties, rendering the base model of the effective refractive index and the normalized frequency and power limiting factor and the normalized frequency curve.
zhedang
- 遮挡因子及角闪烁模型 输入：时延tau，脉冲重复周期tr，脉宽tp 输出：遮挡因子F-Occlusion factor and angle scintillation model input: the delay tau, the pulse repetition period tr, pulse width tp output: occlusion factor F
TFIDF-master
- tf–idf, short for term frequency–inverse document frequency, is a numerical statistic that is intended to reflect how important a word is to a document in a collection or corpus.[1]:8 It is often used as a weighting factor in information retrieval an
Matlab-simulation-model-of-dc-dc-converters
- This matlab file explains the operation of Boost and buckboost converter with open loop as well as closed loop operation for voltage regulation and power factor improvement.-This matlab file explains the operation of Boost and buckboost converter wit
Buckboost-DCM
- This the matlab simulation model for Closed loop control of BuckBoost converter operation with Power factor correction-This is the matlab simulation model for Closed loop control of BuckBoost converter operation with Power factor correction
guangyiyuce
- 根据三容水箱对象本身的特性，采用带遗忘因子的辅助变量最小二乘法对其CARIMA模型参数进行了辨识，并基于辨识所得到的参数模型，用广义预测控制方法对三容水箱的液位进行了控制。实验结果表明，采用此模型的广义预测控制算法有良好的控制效果。-According to the three characteristics of the object itself- tank, using an auxiliary variable with forgetting factor least squares m
PWMRectifier
- PWM整流器SIMLINK仿真模型，双闭环控制（电流内环，电压外环），实现输入电流的高功率因数控制-PWM Rectifier SIMLINK simulation model, dual-loop control (current loop, voltage outer loop), the input current to achieve high power factor control
matlab
- matlab编程计算天然气压缩因子模型，以AGA8-92DC为计算模型计算天然气压缩因子-matlab program to calculate natural gas compression factor model to calculate AGA8-92DC model for the calculation of natural gas compression factor
AR-model-with-rls-and-lms
- 代码实现了二阶AR模型的最优权值递推，使用了LMS和RLS两种方法，对二者性能进行了比较，分别进行了单次和100次平均进行性能观察，并且仿真了不同步长因子对LMS算法的影响以及不同lamda值对RLS算法的影响。文档包含了模型的详细介绍以及2种方法的理论仿真和结果分析。代码以附在之后。-Code to achieve the optimum weights recursive second order AR model, the use of LMS and RLS are two method
baopan
- matlab编写的元胞自动机，用于建立主成分分析模型，包括AHP，因子分析，回归分析，聚类分析。- matlab prepared cellular automata, Principal component analysis model for establishing, Including AHP, factor analysis, regression analysis, cluster analysis.
GMPcal
- 两个MATLAB程序：层次分析法实现各个因子的权重系数求解；GN（1,1）模型进行灰色预测-Two MATLAB program: the analytic hierarchy process to realize the right of each factor weighting factor for solving GN (1,1) model of gray forecast
guipei_v76
- 包括AHP，因子分析，回归分析，聚类分析，计算一维光子晶体的透射特性和反射特性，是国外的成品模型。- Including AHP, factor analysis, regression analysis, cluster analysis, Calculated transmission characteristics and reflection characteristics of the one-dimensional photonic crystals, Foreign model i
FFRLS
- 开环系统参数辨识，带遗忘因子的递推最小二乘估计法（FFRLS)，系统为单入单出的CAR(带控制量的自回归模型）模型,三阶系统-Open-loop system parameter identification, recursive least squares estimation method with forgetting factor (FFRLS), SISO system of CAR (with a controlled amount of autoregressive model)
Fama-French 3 Factor-Model.sas
- FF three factor model sas
BayesFactor
- bayes factor for model selection
五因子do文档
- statat代码，五因子模型分析，账面市值比、规模效应、盈利能力、投资风格(The stata code of the five-factor model, including the 5 quintiles of each factor, the group descr iptive statistics, and the mean t test and the factor redundancy check code)
ff3
- python对fama3因子模型选股的试验(Fama-French 3-factor model by python)
MS-ragged
- 卡马乔的混频马尔科夫区制转换动态因子模型程序(Markov swtiching dynamic factor model program with GAUSS)