Community Profile

photo

Malathy


Central Leather Research Institute

Last seen: 3 years ago |  Active since 2012

Followers: 0   Following: 0

Message

Professional Interests: Image Processing, Neural Networks

Statistics

  • Thankful Level 1

View badges

Feeds

View by

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

12 years ago | 0

Question


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...

12 years ago | 2 answers | 0

2

answers

Question


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 ...

12 years ago | 0 answers | 0

0

answers

Question


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

12 years ago | 1 answer | 0

1

answer

Question


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...

12 years ago | 1 answer | 0

1

answer

Question


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....

12 years ago | 0 answers | 0

0

answers

Question


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 ...

12 years ago | 1 answer | 0

1

answer

Question


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

12 years ago | 1 answer | 0

1

answer

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

12 years ago | 0

Answered
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...

12 years ago | 0

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

12 years ago | 0

| accepted

Question


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...

12 years ago | 0 answers | 0

0

answers

Question


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

12 years ago | 1 answer | 0

1

answer

Question


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...

12 years ago | 2 answers | 0

2

answers

Question


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...

12 years ago | 1 answer | 0

1

answer

Question


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 ...

12 years ago | 3 answers | 0

3

answers