zhuangtaifangcheng

说明：  利用构造的模型机实现不带进位的与或运算，使用软件HKCPT调试并执行一段程序，了解程序的编译、加载过程。通过微单步，单拍调试，理解模型机中的数据流向。(The use of constructed model for machine into place to achieve with or without operation, using the software and perform a HKCPT debugging process, to understand the procedure of compiling, loading process. By micro-single-step, single-shot to debug and understand the data flow model of machine.)

This example illustrates use of the 3-Phase Dynamic Load and 3-Phase Programmable Voltage Source blocks

混合编程matlab与C#,帮助你学习混合编程(matlab and C# hybrid programming)

数学建模 自习教室开放的优化管理——井冈山大学2010数学建模竞赛(Mathematical modeling of optimal management of self-study room open- Jinggangshan University, 2010 Mathematical Contest in Modeling)

matlab 关于KPCA的源码 希望对你有所帮助(KPCA )

利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。 根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)

How to Use This Book 1 2 Mathematical and Simulation Models in Business Economics 16 3 MATLAB and Simulink Design Guidelines 26 4 Importing and Reporting Your Data 53 5 Library Functions for Business Economics 83 6 Economic Impact Models 110 7 Fiscal Impact Models 137 8 Tax Revenue and Tax Policy 149 9 Regional Economics 164 10 Applications for Business 182 11 Business Valuation and Damages Estimatio

M-K法在水文中有着广泛的应用，主要用于时间序列的突变点检验。(MK method has been widely used in hydrology, the main point of testing for mutations in the time series.)

说明：  模拟退火算法各个文件，帮助你求解tsp问题(The simulated annealing algorithm)

GRNN的数据预测：基于广义回归神经网络货运量预测中的源程序及数据(GRNN data to predict the source program and data forecast generalized regression neural network based on the amount of cargo 分享到： 2.5万)