Malathy
Central Leather Research Institute
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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...
거의 14년 전 | 답변 수: 2 | 0
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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 ...
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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...
거의 14년 전 | 답변 수: 1 | 0
1
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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....
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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 ...
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1
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GA optimization
objFcn = @(x) - sim(net,x); [xOpt,Fval] = ga(objFcn,3); Output of my GA is given as below: My Fval = -30.5182 & ...
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1
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ANN using Radial basic function
By varying the MN and DF parameters the MSE is reduced
ANN using Radial basic function
By varying the MN and DF parameters the MSE is reduced
거의 14년 전 | 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...
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...
거의 14년 전 | 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...
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GA optimization
How to define GA parameters such as chromosome length, population size, crossover probability, mutation probability and number o...
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1
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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...
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2
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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...
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1
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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 ...
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