Good Evening,
I will solve the problem using error back propagation algorithm and classification of imbalanced data.In My work i am used data set Ann-thyroid data set.The data set consists of three class(a,b,c).I had split my data set Ann-thyroid13(23).1 and 2 refer the minority data set.3 refers to the Majority data set.Weight update rules for weaken weight update for the Majority class and intensifies weight update for the Majority class.My question is how to classify data set and how to update weight? i attached my coding and base paper.Anybody can please answer the problem.
Hi Gayatri
The weights in Back Propagation algorithms is updated by the momentum factor. Error tolerance is used for the acceptance of weights and termination of iteration. Number of epochs is also used for termination of the iteration.
I saw the code- I do not know from where you got the code- But I think there are better Back Propagation algorithm available on line for ANN.
Please read some other online sources.
Thank you.
Best regards
Dr. Indrajit Mandal
Thank you sir, I am beginner of the neural network and I developed the code. Your answer is valuable for me.
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