Malathy - MATLAB Central
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Malathy


Central Leather Research Institute

Last seen: oltre 4 anni fa Attivo dal 2012

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Professional Interests: Image Processing, Neural Networks

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MATLAB AnswersFrom 02/12 to 01/25Use left and right arrows to move selectionFrom 02/12Use left and right arrows to move left selectionTo 01/25Use left and right arrows to move right selectionUse TAB to select grip buttons or left and right arrows to change selection100%

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FFT Kernel
Kernel used is [ 1 1; 1 -1]

quasi 13 anni fa | 0

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FFT Kernel
How to find the Kernel that is used in Matlab for doing FFT. For eg. a = [2 2; 0 1] and when I call b = fft2(a), I get the resu...

quasi 13 anni fa | 2 risposte | 0

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risposte

Domanda


How to increase the no. of epochs in a network
Iam using the below command. rbnet1 = newrb(input,output,0.001,0.75,20,2); I get MSE as 36.04 in 20 epochs. I guess that ...

quasi 13 anni fa | 0 risposte | 0

0

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NN - optimization
How to optimize the neural network object using rbf?

quasi 13 anni fa | 1 risposta | 0

1

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Inverse transformation for Sim
We generate the neural network object. We use the sim(net,i/p) and see how the network predicts for the given input vector. Is...

quasi 13 anni fa | 1 risposta | 0

1

risposta

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RBF - optimization
I have a network model with radial basis function having 14 hidden neurons with spread function 0.75. It gives me an MSE = 18....

quasi 13 anni fa | 0 risposte | 0

0

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Correlation Coefficient, RMSE
To assess the performance of the ANN, Help me to find the correlation coefficient, average%error and RMSE of the network. I am ...

quasi 13 anni fa | 1 risposta | 0

1

risposta

Domanda


GA optimization
objFcn = @(x) - sim(net,x); [xOpt,Fval] = ga(objFcn,3); Output of my GA is given as below: My Fval = -30.5182 & ...

quasi 13 anni fa | 1 risposta | 0

1

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ANN using Radial basic function
By varying the MN and DF parameters the MSE is reduced

quasi 13 anni fa | 0

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ANN using Radial basic function
newrb(P,T,goal,spread,MN,DF) takes two of these arguments, P - input vectors, T - target output, goal - Mean squared error go...

quasi 13 anni fa | 0

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ANN
we use the SIM function to see the predicted response of the ANN.

quasi 13 anni fa | 0

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ANN
I used the command newff(input,output,10). 10 - no. of neurons in the hidden layer. To assess the performance of the ANN, Pl...

quasi 13 anni fa | 0 risposte | 0

0

risposte

Domanda


GA optimization
How to define GA parameters such as chromosome length, population size, crossover probability, mutation probability and number o...

quasi 13 anni fa | 1 risposta | 0

1

risposta

Domanda


ANN using Radial basic function
I am using newrb(input,output) to train my network. It gives me an output saying neurons = 0; MSE = 210.218. Does it mean that t...

quasi 13 anni fa | 2 risposte | 0

2

risposte

Domanda


GA optimization
I have developed an neural network with 4 input nodes, 4 hidden nodes and one output node using feed forward back propagation ne...

quasi 13 anni fa | 1 risposta | 0

1

risposta

Domanda


ANN
My input array is 35.0000 1.0000 1.2500 0.5000 65.0000 1.0000 1.2500 0.5000 35.0000 2.0000 ...

quasi 13 anni fa | 3 risposte | 0

3

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