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PROBLEM: Consider the Iris data set. We are interested in constructing classifiers for this data.
(1) Derive from first principles the multiclass logistic regression algorithm based on ideas discussed in the class or otherwise. Write a software code from first principles based on the derived equations to configure and run the algorithm. Provide a plot of the error trajectory as a function of iterations towards convergence. Experiment with cross validation strategies using 70% and 80% training sets. What are your conclusions on classification rates? You may want to make a movie to demo your results using Matlab, Python or other software tools.
(2) In the second part, you will do the experiments based on the backpropagation algorithm you learnt in the class. From first principles, code up the back propagation algorithm. Experiment with the momentum learning rule learnt in the class. Carefully distill the learning parameters to optimize the performance. Provide a plot of the error trajectory over iterations. What are your conclusions on the classification rates?
(3) Comment on the classification rates both during training and testing by comparing the multiclass logistic regression model and the multilayer perceptron. What do you conclude?
Its a programming question on neural networks and machine learning. I would like the code to be written in MATLAB.
Write a MATLAB code to find the stator core dimension D and L and number of slots and winding turns for a delta connected squirrel cage induction motor then start the specification 30HP, 3 phase, 440V, 960 r.p.m
Illustrate results of your interpolation by plotting a small piece of data before and after interpolation on the same graph using the "plot" and "hold on" commands. Submit the script and the plot in a single Word file.
MODELING WITH LINEAR PROGRAMMING - Formulate an LP model for this production and distribution problem and formulate the appropriate LP model.
Find a general solution of the following ordinary differential equations and find the general solution of the following ordinary differential equation
Given that the le data.txt contains only real numbers seperated by white space, write down a sequence of maple commands that will read the data into a maple list and then plot a histogram of the elements in the list.
Provide an introduction to digital communications, and as a vehicle to introduce some of the features that are common to digital communication systems
Provide a plot where the end-result is plotted against sample indices into one subplot and another one where the end-result is plotted against time in seconds.
Computing Project - Beam Analysis- The computing project Beam Analysis deals with load placement at various points along a beam. The concept is to model the relationship between location of load placement and the reaction forces at the end of the ..
Compute the orientation of the principal axes of the cross section using the eigen- value solver in MATLAB (eig) on the moment of inertia matrix J. See the CP Notes for more information on this task.
Create two vectors of length 10 of your choice, and label them x and z. Show, element by element, where x and z are equal. Show, element by element, where x is greater than z.
Convey how the program was developed, what issues were encountered, whether the program was successful (and if not, why not), etc.
Include the original photograph of your selected profile with your assignment. Trace your drawing on a graph paper. For convenience you can rotate the given profile.
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