Two layers neural networks consist of 3 input neurons and one output neuron. The input vector is(x1, x2, x3) where x3 is always =1.0.x1, x2 and the desired output d are given by the table below.When using the initial weight vector w = (1.0, 1.0, -3.0) there was an error as shown in thefigure. The equation for the decision boundary was: x1*1 + x2*1 - 1*3=0.net =Exw., (i.e. net = x1*wl+x2*w2+x3*w3), f(net) is the sign of netw' = w1 + c(d' -1- sign (Wt -1• xt-1)) x' -1Use:1.0,where c is the training (learning) factor and c =( please note that sometimes we use the symbol } instead of c)What are the new values of the vector w after the first input (1,1,1), note that input x3 isalways 1.0?What are the new values of the vector w after the second input (9.4, 6.4, 1.0)?What is the Error if the decision boundary is x1*2+x2*2-12 =0, (ie W=(2, 2, -12).10.0X1X2Output1.01.019.46.4-12.52.18.07.7-1X2 5.0-0.52.27.98.4-17.07.0-1f(net)=0A2.80.810.00.01.23.015.0X110.07.86.1-1

You may build the truth table, view the values, and select the gate that the network imitates. 0 0 0…

Answered: (please note that sometimes we use the…

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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Can you help me program this in MATLAB? Transformation from Keplerian orbital elements to cartesian coordinates. Write a function script in the form (x,y,z,vx,vy,vz) = orb2cart(a,ecc,inc,raan,argp,f). This is going from Keplerian orbital elements to the cartesian coordinates. Inputing orbital elements (a,ecc,inc,raan,argp,f) and output the state vector (x,y,z,vx,vy,vz).
Run my function on {(1,4),(0,6),(3,5),(2,9),(7,8)}. Is the output what you expect? Find the problem and fix it, writing a correct version of the function. Again, use the same function name, i.e., count_crossings_and_nestings. Demonstrate that the new version works by testing it on the example provided. Now write a well-documented version of your function count_crossings_and_nestings. Add a document string and plenty of comments.
X is a vector, X = -5:0.5:5; please do part a and b on matlab
Given a vector of real numbers r = (r1, r2, ..., rm). We can standardize the vector using the formulation: vi = "im, where m ri-m is the mean of the vector r, and s is the standard deviation of r. The vector v = (v1, v2, ..., Un) will be the scaled vector. Write a Python function scale_vec (r) that takes the vector r as input and returns the scaled vector v. Sample inputs and outputs: ● Input: np.array([1, 3, 5]), output: [-1.22474487 0. 1.22474487] • Input: np. array([3.3, 1.2, -2.7, -0.6]), output: [1.35457092 0.40637128 -1.35457092 -0.40637128] Hint: Use numpy.mean and numpy.std with default parameters. # Write your function here. Let's test your function. [ ] import numpy as np print (scale_vec (np.array([1, 3, 5]))) print (scale_vec (np.array([3.3, 1.2, -2.7, -0.6])))
For input vector x, write a function to check whether there exists at most 5 elements in x whose values are less than 7.
Play and practice all the functions that we listed here. What I would like you to do is to first create three vectors---a logic vector, a double vector, and a character vector, for example, x1 = c( TRUE, FALSE, TRUE) x2 = c( 0, -2.5, 1, 3, 5.9 ) x3 = c( "a1", "a2", "za", "zz", "0", "1") and apply each function to all three vectors to see what would happen. If the function requires more than one input x, then you just create other objects as needed. sum (x) sum of the elements of x prod (x) product of the elements of x max (x) maximum of the elements of x min(x) minimum of the elements of x which. max (x) returns the index of the greatest element of x which. min(x) returns the index of the smallest element of x range (x) id. than c (min(x), max (x)) length (x) number of elements in x mean (x) mean of the elements of x median (x) median of the elements of x round (x, n) rounds the elements of x to n decimals rev…
Please use MATLAB to solve the problem.

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