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Creative Engineers
Приєднався 4 тра 2015
It is a channel for the Students of Civil Engineering and researchers. Various data analysis techniques will be explained with relevant examples in this channel.
Conversion of Floating files to netcdf files using ARCgis
Some of the climate change data are saved in flt file types which is needed to convert in netcdf file formet for further analysis. The Australian Water Availability projects data are saved on .flt file format specifically. In that case conversion is necessary. This lecture allows us to convert the .flt file format to netcdf file format.
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Відео
Combining multiple files in one Netcdf/csv files in Matlab
Переглядів 4,1 тис.5 років тому
This video is all combining multiple netcdf files/csv files in a single netcdf/csv files. In data analysis/ climate change analysis, dealing with huge data sets are required. Running the desired data in a single files is always important for putting them in a model like ANN and others. This tutorial helps us to add multiple files of netcdf/csv in a single files.
Reading Excel File in Matlab for ANN Modelling
Переглядів 3386 років тому
In this lecture a brief description is given for writing/reading excel file in matlab for using them in ANN modelling. Microsoft excel is one of the most handily and friendly tool to be used in data analysis. Dealing with excel for matlab modelling is very easy and effective.
Steps to Artificial Neural Network Modelling
Переглядів 4006 років тому
An artificial neuron network (ANN) is a computational model based on the structure and functions of biological neural networks. Information that flows through the network affects the structure of the ANN because a neural network changes - or learns, in a sense - based on that input and output. ANNs are considered nonlinear statistical data modeling tools where the complex relationships between ...
Artificial Neural Networks (ANN): Basic Information
Переглядів 1156 років тому
This video contains the basic information of Artificial Neural Networks. An ANN is based on a collection of connected units or nodes called artificial neurons (a simplified version of biological neurons in an animal brain). Each connection (a simplified version of a synapse) between artificial neurons can transmit a signal from one to another. The artificial neuron that receives the signal can ...
Variance Inflation Factor Using Excel
Переглядів 22 тис.8 років тому
This Video is about the manual calculation of Variance Inflation Factor that is used to find out appropriate input variables for ANN model.
Thanks for your help, wish you the best :)
thank you so muchh🤗
Thanks. :)
Good video
That was very informative. may you do another tutorial on how to combine two Netcdf files in R, thanks.
Sir I used your code and it final gave me combined file but as try to open that combinjed nc file using ncdisp command matlab suddenly showing internal error pop up and get closed automatically.
Wow.... I heartily thank you
Thank you so much!!! This was very helpful
Error using fopen First input must be a file name or a file identifier.
can i get the script?because when i run the script, i get error in "uigetfile"
hi, I could quite catch your comments at the very end when commenting on the VIF results - do you mean to say that a VIF over 3 is evidence of multi collinarity?
Great video
Really helpful
Thank you!!
Thank you so much!! Very helpful
I follow your script but I cant open the output file of netcdf
Very clear and concise demonstration. Thank you!!!!
Helpful thank you.
combined netcdf file is of no use. it's not opening
Super useful video! But I get " Error using fopen . First input must be a file name or a file identifier."
Nice video. I followed your steps but could not open the "finalCSVnew.nc". Please can you help?
Thanks
great video
Thanks Creative Engineers! This is very helpful and clear explanation. Keep up the good work.
Very good video. Congratulations
Great video! Thank you so much! Just a quick question though: in the process of creating the linear model, do you check for multicollinearity with VIF at the start on the imperfect model or do you do it on the final model where several variables have already been omitted based on their P-Values?
Dear Nelisje Thank you for your nice comment Actually in my model, initially I have calculated the VIF value for the individual variables and find the variable with higher to lower VIF value. Then I have made different input combination starting from the variable with higher VIF value. Hope you understand..
this is a great video . thank you! im just wondering, for VIF is there any significance test / p-value output?
Thanks.. Appreciate...
I followed your instructions and compared it to SAS VIF output. Your calculations were on point. This is great because I do not always have SAS available to me. Thank you very much!
Thank you so very much...