MATLAB: How to define error weights in Neural Network neural networkweighted error I want to minimize a mean squared weighted deviation in a neural network. The weights are different for each sample. How can I specify this? Is it perform(net,t,y,ew)? ew = [a b c d …] (weight for each sample) Best Answer The documentation commands help traindoc trainyield[NET,TR] = train(NET,X,T,Xi,Ai,EW)Hope this helps.Greg Related SolutionsMATLAB: How to train a feedfordward neural network with error weights Use the command window help mse doc mseHope this helps.Thank you for formally accepting my answerGreg MATLAB: Is good to repeat the same sample in the training of the neural network Generally, it does not make it worse.Hope this helps.Thank you for formally accepting my answerGreg Related QuestionChanging the weights in a neural networkNormalize Inputs and Targets of neural networkResulting neural network functionMAPE for out-of-sample in neural networkNeural network with multiple inputs and single output – How to improve the performance of neural networkDoes train function return neural network with the weights of last epoch or the weights of the model with the smallest loss of all epochsHow to differentiate between Mse(training) and Mse(testing) ?
Best Answer