YouTube Playlist on Artificial Neural Network (ANN)

[Neeraj Kaushik]

Dear Friends

Sometime back Mr M. Manoraj, NIT Trichy recommended me to read these articles on ANN from the International Journal of Information Management (ABDC A* Journal) and and urged me to learn ANN:  

• Predicting mobile wallet resistance: A two-staged structural equation modelling-artificial neural network approach https://www.sciencedirect.com/science/article/abs/pii/S0268401219306012
• A hybrid SEM-neural network analysis of social media addiction https://www.sciencedirect.com/science/article/abs/pii/S0957417419303537
• Time to seize the digital evolution: Adoption of blockchain in operations and supply chain management among Malaysian SMEs https://www.sciencedirect.com/science/article/abs/pii/S0268401219304347
• A SEM-neural network approach for predicting antecedents of m-commerce acceptance https://www.sciencedirect.com/science/article/abs/pii/S0268401216303103

On reading these articles, I found that Artificial Neural Network (ANN) is this is a very extremely technique which is now getting wide recognition in the fields of Management, Commerce and Social Science. Along with using routine Data Analysis techniques (Hypothesis testing, SEM etc), ANN is used as a complementary technique for confirming the results of other techniques.

 

So, thanks to Manoraj and my friend Dr Anshuman Sharma, I learnt ANN and now I tried to explain the same in a new youTube playlist. In the first video, I discussed the Concept of Neural network and the study material.

Artificial Neural Network Part-1 Concept of Neural Network https://youtu.be/HxWQsLRNuG8

The study material for ANN can be found on this link

https://www.google.com/search?q=spss+tutorial+on+neural+network+filetype%3Apdf&oq=spss&aqs=chrome.2.69i57j69i59l2j69i60l5.2168j0j7&sourceid=chrome&ie=UTF-8

 

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

I've explained some technical terms used in the context of ANN in this video

Artificial Neural Network Part-2 Technical Details: https://youtu.be/XxaDjqXOZPA

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

A very popular approach these days is PLS-SEM+ANN

Plz refer to the papers

• Predicting mobile wallet resistance: A two-staged structural equation modelling-artificial neural network approach https://www.sciencedirect.com/science/article/abs/pii/S0268401219306012
• A hybrid SEM-neural network analysis of social media addiction https://www.sciencedirect.com/science/article/abs/pii/S0957417419303537

I've explained the same in this video.

Artificial Neural Network Part-3 Two Staged Approach PLS-ANN: https://youtu.be/cgqt-oTkmUc

Happy Learning

Neeraj

[Neeraj Kaushik]

Dear Friends

It is important to pause here and visit a complete paper on PLS+ANN published in A* journal

This paper can be benchmarked for writing ANN portion in our paper.

Artificial Neural Network Part-4 Discussion of a paper on ANN: https://youtu.be/MM8sTvOnn0Y

Happy Learning

[Felix Arokiya Raj A.P.]

Dear Dr. Neeraj Kaushik,

Thank you for the wonderful video lessons on ANN. My doubt is regarding the path analysis table in the paper on predicting m-wallet.

At 10:31 minute of the ANN Part-4 video, the Hypothesis H3 "Income - RS" relationship is "Not Supported" even though the P value is highly significant and T Statistics is 3.7490. The positive values of the Lower Bound and Upper Bound should it mean significance?

Regards,

Felix Arokiya Raj

NITTTR Chennai

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[Neeraj Kaushik]

Dear Felix

It's a wonderful observation. 

Yes, t>1.96 as well as both LCL & UCL being a positive indication that there is a sig effect of income on RS.

It's a typing error from the author's side.

Best wishes

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[Raja Sankaran]

Dear Felix,

Please refer to the research paper and the directional hypothesis for H3.

H3. Income has a negative effect on m-wallet resistance.

The study resulted in a positive beta value. Hence, the positive effect contradicts the proposed negative effect and therefore H3 is not supported.

Hope this clarifies your doubt.

 

Regards

Raja Sankaran

On Fri, Feb 19, 2021 at 4:49 PM Felix Arokiya Raj A.P. <felixa...@gmail.com> wrote:

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[Neeraj Kaushik]

Wonderful observation Raja!

[Felix Arokiya Raj A.P.]

Dear Sir,

Thanks for your clarification about the positive effect of Income over m-wallet resistance due to positive Beta value.

Regards,

Felix Arokiya Raj

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[Neeraj Kaushik]

Dear Friends

Now it's time to go through a practical illustration of ANN in SPSS.

Artificial Neural Network Part-5 Practical Illustration ANN in SPSS: https://youtu.be/_ZzS199AGpc

Happy Learning

[Neeraj Kaushik]

Dear Friends

Let's discuss the case when DV is categorical.

Statistically, we shd use Linear Discriminant Analysis here. It's worthwhile to check whether ANN gives a better prediction than LDA. I've explained this in the following video:

Artificial Neural Network Part-6 Practical Illustration ANN in SPSS (Categorical DV): https://youtu.be/xwAAuuLrJhc

Happy Learning

 

[Neeraj Kaushik]

Dear Friends

Let's take a complete example of extracting the factor score from SmartPLS and then take it to ANN.

Artificial Neural Network Part-7: Complete example of PLS-SEM+ANN: https://youtu.be/vSH3ANiwDOk

Happy Learning

[Kashif Ali]

Dear Neeraj,

Your videos on ANN are very informative and effective. Please explain the overall prediction of the ANN model. 

Please refer to the article: A hybrid SEM-neural network analysis of social media addiction on Pg#309.

Thanks

Kashif Ali

UTP Malaysia

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[Neeraj Kaushik]

Dear Kashif

I read this paper and many other papers. Everyone has used this formula but not given the details of how to work on this formula.

So, by the time I search for the calculation steps of r2 in ANN, I think we can go ahead with the steps given in the attached file.

Best wishes

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