I am using neural network module in matlab. I have 8 independent variable e.g X1, X2, X3,…X8 with 1 dependent variable e.g Y. As i used neural network and got a equation like– Output = a*(target)+b, but I want a regression equation like — Y(predicted) = f(X1, X2, X3,…X8). Is this provision available in neural network. Accepted Answer: y = repmat(b2,O,N) + LW*tanh( repmat(b1,I,N) + IW*x ); Hope this helps. Thank you for formally accepting my answer Greg #MATLAB #Regression #equation #neural #network The post Regression equation in neural network? appeared first on Stack All Flow ..read more

I want to make new vector based on the values of a different one and taking the sixth value from the end (that would be the new last value) and so on every 6 values. Example: Original vector=( a b c d e f g h i j k l m n o p q r s t) New one (t-6) = (c i o) Thanks! Accepted Answer: >> V = 'a':'t' V = abcdefghijklmnopqrst >> fliplr(V(end-5:-6:1)) ans = cio #MATLAB #Create #vector #specific #values #vector The post Create a new vector with specific values from other vector? appeared first on Stack All Flow ..read more

Hello, the following function computes the number of binary words of length m and certain weight r (number of ones), which do not contain l consecutive zeros: if (r==0) if (m<=l-1) numberOfStrings = 1; return else numberOfStrings = 0; return end else tmp = 0; for j=0:min(m,l-1) for s=0:r-1 bin1=0; bin2=0; if ((m-j)-1-s*l < r-1) bin1 = 0; else bin1 = nchoosek((m-j)-1-s*l,r-1); end if ((m-j)-1-(1+s)*l < r-1) bin2 = 0; else bin2 = nchoosek((m-j)-1-(1+s)*l,r-1); end tmp = tmp + (-1)^s * nchoosek(r-1,s) * (bin1-bin2); end end numBin = tmp; end In the first If-case we consider r=0 (also ..read more

I know that I can easily plot a sphere using the sphere function, but I am trying to do it with the cylinder function. This is what I have so far, but I can’t seem to get the function right. clc; x1 = linspace(0,pi,100); y1 = linspace(0,1,100); z1 = linspace(0,2,100); [x2, y2,z2]=cylinder(x.^2+y.^2),200); figure(2); surf(x2, y2,z2); xlabel('X'); ylabel('Y'); zlabel('Z'); colormap(jet) Accepted Answer: x = linspace(0, 1, 20); [X, Y, Z] = cylinder(sqrt(x .* (1 - x))); surf(X, Y, Z); axis equal The first input determines the radius. Then h^2 = p*q helps. #MATLAB #plot #sphere #cylinder #f ..read more

Is there a way of selecting a specific sheet from a csv file please? I’ve got each sheet saved as a date (eg, 19.07) and using strcat, the program finds the sheet I want (like 19.07 for example) but then is there a way of selecting just that sheet from the whole csv file? Thanks Accepted Answer: Using xlsread you can select any sheet #MATLAB #Select #specific #sheet #csv #file The post Select specific sheet in csv file? appeared first on Stack All Flow ..read more

As is shown in the image,a new point D(0.5,0.5,0) is interpolated on edge OB.As result,the 2 original triangles are divided into 4 triangles.I have two matrix about the original triangls:p[0 0 0;0 0 1;0 1 0;1 0 0]which represents the coordinates of all the vertexes,t[1 2 3;1 3 4]represents the indexes of the vertexes composing each triangle.How to create a new t matrix ? Accepted Answer: Perhaps this post on Loren’s blog will help. #MATLAB #triangulation #insert #point The post How to do triangulation after insert a new point? appeared first on Stack All Flow ..read more

I have a program which creates a C structure which contains large arrays of various basic data types (ints doubles etc.). What is the most memory efficient way for me to return this data to Matlab from a C mexfunction, while also ensuring all of the memory deallocation is carefully taken care of? I would ideally like to return the whole structure, but methods for returning each array individually are also acceptable. You may also assume I understand the basics of writing mexfunctions and returning arguments using the basic method of copying the data to an array pointed to by the plhs pointer ..read more

Hi, I would like to filter a signal using filtfilt in order to have: – zero phase – to have the initial and final sample of the filtered data the same as the raw data Following this link: http://www.mechanicalvibration.com/filtfilt_Casual_versus_non_.html#foot60 the initial and final point are maintained using filtfilt. However when I do this, they are not. The commands I use are: b = [0.0675, 0.1349, 0.0675]; % Low pass Butterworth filter a = [1.0, -1.1430, 0.4128]; Sig_filtered=filtfilt(b, a, Sig_raw); Can anyone explain this to me or point me towards a filter function that can do this? Tha ..read more

I used GraphPlot to create a graph but some node labels are on top of edges. Is it possible to change the label positions? If not, are there any alternatives to create visually appealing graphs? Accepted Answer: I don’t think there are documented properties of a GraphPlot that allow you to change the placement of the labels relative to the nodes. However, you could remove the labels and replace them with your own matching text labels. That way you have complete control over the placement of each label. Here’s a demo. % Creat a graphplot s = [1 1 1 1 1 1 1 9 9 9 9 9 9 9]; t = [2 3 4 5 6 7 ..read more

I am writing a GUI in GUIDE which contains a popup menu. In the Property Inspector the String property is empty. The contents of the menu must be filled during execution and are assigned values from a structure as such: a = {AlertFD.name}; set(handles.popupmenu1, 'String', a); and the user input is assigned to b: b = get(handles.popupmenu1, 'Value'); The problem occurs when I run the GUI: when I first click on the menu, I see an empty cell. I click on the empty cell and then the first element of cell a is shown and automatically passed as user input to b , even though I do not wish to selec ..read more