In this video i have shown the step by step process of ANN tool box use in the MATLAB environment. I hope it will help you in prediction of any kind of data based on the Training of the network by given data.
Sir , that's a perfect video, but as i noticed finally you copied the target file data from Matlab workspace to excel , however, it suppose to copy the output of the neural network the you exported to workspace, am I right?
uve simulated the model by the giving the same inputs taken for training the model, then what did you predict?. you could have taken a separate set of data for testing the trained NN model to predict different outputs. Resetting weights to optimize the training is a great idea...thank you!
it is possible to perform ANN time series for combination of input of past and future using the ANN Time series Toolbox? Let say, X is the input and Y is the output and I want to use input combination of 1. X, Xt-1 2. X, Xt-1,Xt-2, Xt+1 3. X, Xt-1, Yt-1, Xt-2, Yt-2 If it is not possible to set the above input combination using Matlab Toolbox, is it possible to do so in coding, and where do I set this? Or should I manually save the input data based on the combination?
i want to learn , what are the inputs should be taken for neural network which should be given to gate pulses of multilevel inverter.... Please help me.
Dear Sir, I have seen the presentation,it was comprehensive, there were multiple inputs and multiple out puts, but regression line is a straight line. Can you explain it further. If I have multiple inputs and one out put, then the mathematical equation must have coefficients for each inputs. Would you please explain to me, I will be greatfull.
Sir, I have past rainfall data.. is it possible to predict the rainfall for future years. thing is we cant know the input for future prediction, as the inputs are like humidity, temperature and wind speed. output is the rainfall amount
thanks too much, but I have question, why take output from network, and copy and past on excel sheet, what is mean that, according to understand me, we must put the edm- output compared with the output the experiment on excel
How can i solve and optimization problem to maximize crop yield for a given amount of irrigation water and subjected to various cconstraints and the variables in the constraints are not present on the objective function
sir i want to predict Urban heat island effect for future, for that i have used several layers like Digital elevation model, slope,aspect etc. Here in you video tutorial you have uploaded target file also, can you please tell how have you computed the target values .
@@9324krishna Sir, you have to take EdmOut put value.. / But you Wrongly take EdmTarget value again....- Thats why Datas are fully same... It is wrong. Make same vdo after correction
Sir, you have to take EdmOut put value.. / But you Wrongly take EdmTarget value again....- Thats why Datas are fully same... It is wrong. Make same vdo after correction
@@9324krishnaSir, you have to take EdmOut put value.. / But you Wrongly take EdmTarget value again....- Thats why Datas are fully same... It is wrong. Make same vdo after correction
Hi, thanks for the explanation but there are ways to understand: - how many hidden layers and how many hidden neurons to use? - network type, traning fuction, adption learning fuction, performance fuction and transfer fuction? thank u so much
I do have same questions. What I do is reading a lot of research and find what people use. And then I try that functions etc. on neural network and see which one is the best
The data pasted in the excel sheet at the end is the same as the data pasted from the excel sheet in the beginning and it's not the actual prediction of the network.
@@sustainablehampo757 Sir, you have to take EdmOut put value.. / But you Wrongly take EdmTarget value again....- Thats why Datas are fully same... It is wrong. Make same vdo after correction
Sir, you have to take EdmOut put value.. / But you Wrongly take EdmTarget value again....- Thats why Datas are fully same... It is wrong. Make same vdo after correction