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kernel density estimation MATLAB

一份matlab程序的电子资料，从入门到精通非常适合爱好matlab学习者。(A matlab program of the electronic data, entry to the proficient in matlab learners are well suited for hobbies.)

预报误差法参数辨识-松弛的思想，包括面积、周长、矩形度、伸长度，是本科毕设的题目，BP神经网络用于函数拟合与模式识别，一种噪声辅助数据分析方法,包括主成分分析、因子分析、贝叶斯分析。( Prediction Error Method for Parameter Identification- the idea of relaxation, Including the area, perimeter, rectangular, elongation, The title of the commercial is undergraduate course you BP neural network function fitting and pattern recognition, A noise auxiliary data analysis method, Including principal component analysis, factor analysis, Bayesian analysis.)

三相PWM叠加三次谐波控制Simulink仿真，另加一滤波器观看PWM经过低通滤波后的波形，适合电力电子初学者(Superposition of three harmonic three-phase PWM control Simulink simulation, plus a watch PWM filter through after the low-pass wave filter for power electronics for beginners)

污染模拟软件，matlab实现，非常好的程序，数模建模经常用到(Pollution simulation software, matlab realize, very good program, frequently used digital-analog modeling)

异步电动机的矢量控制matlab仿真研究，供初学者研究学习(Simulation study of induction motor vector control matlab for beginners Learning)

QAM MIMO simulation using MATLAB

This program displays the code name for the aluminum conductors steel reinforced (ACSR). To obtain the characteristics of the ACSR conductors enter the conductor code name within single quotes

灰色预测模型的matlab源代码，灰色预测可以用在数据挖掘等方面(Grey prediction model matlab source code, gray prediction can be used in data mining, etc.)

This folder contains Matlab functions for the Enhanced Interval Approach (EIA) in: Simon Coupland, J. M. Mendel and Dongrui Wu, “Enhanced Interval Approach for Encoding Words into Interval Type-2 Fuzzy Sets and Convergence of the Word FOUs,” IEEE World Congress on Computational Intelligence, Barcelona, Spain, July 2010. All following functions were tested in Matlab 7.4.0 (R2007a) under Windows 7: centroidIT2: Compute the centroid of an IT2 FS. EKM: Implement the Enhanced KM algorithms. IA: Implement the Interval Approach for word encoding. mainJPL: Illustrate IA and EIA using the JPL dataset. mainWeb: Illustrate IA and EIA using the Web dataset. mg: Compute the membership grades of a vector of numbers on a T1 FS. plotFigures: Plot Figs. 3.18, 3.19 and 3.20 in the book. plotIT2: Plot an IT2 FS. Last modified by Dongrui Wu (dongruiw@usc.edu), May 2, 2010.