An Artificial Neural Network Model was built using MATLAB nftool to predict PM2.5 from meteorological data. Mistake: While selecting input data in excel, I mistakenly left out NO2 column.
Dear Tahsima... Very nice explanation 👍🌹. No voice needed.. Could you please provide the data file so that we can practice this tutorial.. Thank you so much
To develop an integrated drought index via ANN. Is generated ANN script is defined as the integrated drought index or any other output parameter defines the index
Hi Santosh! Please go through the MATLAB official website to see how you can get weights and biases. www.mathworks.com/matlabcentral/answers/79894-how-can-i-generate-the-weights-and-bias-values-after-training-a-network?s_tid=answers_rc1-2_p2_MLT
I have never done SIR models before. But you can check the MATLAB file exchange. www.mathworks.com/matlabcentral/fileexchange/75100-sir-epidemic-spread-model
Exactly this is my problem. For example I have 8 files each has 121 rows. I want to predict the outcome of file 8. What I did is put 7 files as an input array with 3 columns and 859 rows and and 8th file has 121 rows which is my target. Is this right ir wrong. Basically I want to predict the outcome by having 8 files. How do I do this in matlab? And by the way do I need to optimize the data
hello i have following dataset wind speed at 10m and 50 m for 4 years from 2014 to 2018 i suppose that use data of first three from 2014 to 2018 as training data then use last year 2018 as testing to predict wind speed at 50 m is this good idea or need to enhace
You might want to use k-fold distribution. Sampling a portion of each year as training data and the rest as testing data. It might give you better results.
The dataset is automatically segmented into training data, testing data and validation data in the tool. At the end of training, there is an option for testing additional datasets in the tool.
