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Description: Neural network中MININNET 设计用MATLAB
关于生成内容,坚固网络,净化神经网,类的比较,培训权限等的所有程序-Neural network design which MININNET on MATLAB generated content, a robust network, purification neural network, the type of comparison, the powers of the training all the procedures
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Size: 6262 |
Author: 李成 |
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Description: 1 MATLAB 2 2 Starting Up 2 2.1 Windows Systems . . . . . . . . . . 2 2.2 Unix Systems . . . . . . . . . . . . . 2 2.3 Command Line Help . . . . . . . . . 2 2.4 Demos . . . . . . . . . . . . . . . . . 3 3 Matlab as a Calculator 3 4 Numbers & Formats 3 5 Variables 3 5.1 Variable Names . . . . . . . . . . . . 3 6 Suppressing output 4 7 Built{In Functions 4 7.1 Trigonometric Functions . . . . . . . 4 7.2 Other Elementary Functions . . . . . 4 8 Vectors 4 8.1 The Colon Notation . . . . . . . . . 5 8.2 Extracting Bits of a Vector . . . . . 5 8.3 Column Vectors . . . . . . . . . . . . 5 8.4 Transposing . . . . . . . . . . . . . . 5 9 Keeping a record 6 10 Plotting Elementary Functions 6 10.1 Plotting|Titles & Labels . . . . . . 7 10.2 Grids . . . . . . . . . . . . . . . . . . 7 10.3 Line Styles & Colours . . . . . . . . 7 10.4 Multi{plots . . . . . . . . . . . . . . 7 10.5 Hold . . . . . . . . . . . . . . . . . . 7 10.6 Hard Copy . . . . . . . . . . . . . . 8 10.7 Subplot . . . . . . . . . . . . . . . . 8 10.8 Zooming . . . . . . . . . . . . . . . . 8 10.9 Formatted text on Plots . . . . . . . 8 10.10Controlling Axes . . . . . . . . . . . 9 11 Keyboard Accelerators 9 12 Copying to and from Word and other applications 10 12.1 Window Systems . . . . . . . . . . . 10 12.2 Unix Systems . . . . . . . . . . . . . 10 13 Script Files 10 14 Products, Division & Powers of Vectors 11 14.1 Scalar Product (*) . . . . . . . . . . 11 14.2 Dot Product (.*) . . . . . . . . . . . 11 14.3 Dot Division of Arrays (./) . . . . . 12 14.4 Dot Power of Arrays (.^) . . . . . . 12 15 Examples in Plotting 13 16 Matrices|Two{Dimensional Arrays 13 16.1 Size of a matrix . . . . . . . . . . . . 14 16.2 Transpose of a matrix . . . . . . . . 14 16.3 Special Matrices . . . . . . . . . . . 14 16.4 The Identity Matrix . . . . . . . . . 14 16.5 Diagonal Matrices . . . . . . . . . . 15 16.6 Building Matrices . . . . . . . . . . . 15 16.7 Tabulating Functions . . . . . . . . . 15 16.8 Extracting Bits of Matrices . . . . . 16 16.9 Dot product of matrices (.*) . . . . 16 16.10Matrix{vector products . . . . . . . 16 16.11Matrix{Matrix Products . . . . . . . 17 16.12Sparse Matrices . . . . . . . . . . . . 17 17 Systems of Linear Equations 18 17.1 Overdetermined system of linear equations . . . . . . . . . . . . . . . . . . 18 18 Characters, Strings and Text 20 19 Loops 20 20 Logicals 21 20.1 While Loops . . . . . . . . . . . . . . 22 20.2 if...then...else...end . . . . . . 23 21 Function m{ les 23 21.1 Examples of functions . . . . . . . . 24 22 Further Built{in Functions 25 22.1 Rounding Numbers . . . . . . . . . . 25 22.2 The sum Function . . . . . . . . . . . 25 22.3 max & min . . . . . . . . . . . . . . . 26 22.4 Random Numbers . . . . . . . . . . 26 22.5 find for vectors . . . . . . . . . . . . 27 22.6 find for matrices . . . . . . . . . . . 27 23 Plotting Surfaces 27 24 Timing 28 25 On{line Documentation 29 26 Reading and Writing Data Files 29 26.1 Formatted Files . . . . . . . . . . . . 30 26.2 Unformatted Files . . . . . . . . . . 30 27 Graphic User Interfaces 31 28 Command Summary 32
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Author: taffy320 |
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Description: Neural network中MININNET 设计用MATLAB
关于生成内容,坚固网络,净化神经网,类的比较,培训权限等的所有程序-Neural network design which MININNET on MATLAB generated content, a robust network, purification neural network, the type of comparison, the powers of the training all the procedures
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Size: 6144 |
Author: 李成 |
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Description: 给Matlab配套的电力工具箱POWERSYSTEM的最全的使用手册，一共一千多页，POWERSYSTEM中所有的DEMO都有详细介绍，是学习电力工具箱的精品资料-Matching of electricity to Matlab toolbox POWERSYSTEM the most comprehensive user manual, a total of more than 1000 pages, POWERSYSTEM have all the details of DEMO is to learn the power of quality information toolbox
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Size: 11983872 |
Author: 王华斌 |
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Description: MFCC (Mel Frequent Cepstral Coefficient) in M-File.
epresentation of the short-term power spectrum of a sound, based on a linear cosine transform of a log power spectrum on a nonlinear mel scale of frequency.
MFCCs derived as follows:
1. Take the Fourier transform of (a windowed excerpt of) a signal.
2. Map the powers of the spectrum obtained above onto the mel scale, using triangular overlapping windows.
3. Take the logs of the powers at each of the mel frequencies.
4. Take the discrete cosine transform of the list of mel log powers, as if it were a signal.
5. The MFCCs are the amplitudes of the resulting spectrum.
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Size: 1024 |
Author: Mitha |
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Description: SimPowerSystems software and other products of the Physical Modeling
product family work together with Simulink software to model electrical,
mechanical, and control systems
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Size: 4251648 |
Author: sabrina |
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Description: The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
- The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
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Size: 1024 |
Author: sabah_altaie |
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Description: The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.- The DocPolynom to Character Converter
The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate.
The char method uses a cell array to collect the string components that make up the displayed polynomial.
The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB.
Here is the char method.
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Size: 1024 |
Author: sabah_altaie |
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Description: 这个函数估计到库默尔与第N系列的广义超几何微分方程解的权力。库默尔的差分方程为：
x *的克 （十）+（二- X）的*克 （ x）的- A *的为g（x）= 0
该代码只有4线长，利用Matlab的向量运算有权采取了第N广义超几何级数的权力的总和。-This function estimates the solution to kummer s differential equation with the first N powers of the generalized hypergeometric series. Kummer s differential equation is given by:
x*g (x)+ (b- x)*g (x)- a*g(x) = 0
The code is just 4 lines long, using the power of Matlab s vector operations to take the sum over the first N powers of the generalized hypergeometric series.
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Size: 3072 |
Author: abeaqhax |
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Description: MEMORY_TEST is a MATLAB program which declares and uses a sequence of larger and larger arrays, to see what the memory limits are on a given computer.The program tries an increasing series of values of N, using powers of 2, between limits that you set.
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Size: 1024 |
Author: KORHAN KARAARSLAN |
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Description: roots -Polynomial roots
Syntax
r = roots(c)
Description
r = roots(c) returns a column vector whose elements are the roots of the polynomial c.
Row vector c contains the coefficients of a polynomial, ordered in descending powers. If c has n+1 components, the polynomial it represents is .
Tips
Note the relationship of this function to p = poly(r), which returns a row vector whose elements are the coefficients of the polynomial. For vectors,roots and poly are inverse functions of each other, up to ordering, scaling, and roundoff error.
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Size: 15360 |
Author: Amit |
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Description: 用matlab实现改变图像灰度值，输出依次为原图像（灰度值256），128,64,32,16,8,4,2-Reducing the Number of Gray Levels in an Image
(a) Write a computer program capable of reducing the number of gray levels in an image 256 to 2, in integer（整数） powers of 2. The desired number of gray levels needs to be a variable input to your program.
(b) Download Fig. 2.21(a) and duplicate the results shown in Fig. 2.21 of the book.
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Size: 1024 |
Author: 彭筱媛 |
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Description: This program returns the coefficients of the Legendre polynomial P_n, given n. The result is a row vector with powers of x decreasing left to right (standard MATLAB notation). Like for other polynomials, LegendrePoly(n) can be uated at x by typing-This program returns the coefficients of the Legendre polynomial P_n, given n. The result is a row vector with powers of x decreasing left to right (standard MATLAB notation). Like for other polynomials, LegendrePoly(n) can be uated at x by typing
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Size: 619520 |
Author: ahmed.j |
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Description: DIP- filtering the image with the increasing powers of 2
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Size: 1024 |
Author: RahulTappetla
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Description: The main objective considered is the adjustment of the flow of active and reactive powers between the network and the stator of the dfeg.
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Size: 29696 |
Author: belalia
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