Kohonen self organizing maps(KSOFM) with algorithm and solved example

#neuralnetwork #softcomputing #machinelearning #algorithm #datamining
Neural networks | Self Organizing Maps | KSOFM | Solved Example
Introduction:1.1 Biological neurons, McCulloch and Pitts models of neuron, Types
of activation function, Network architectures, Knowledge representation, Hebb net
1.2 Learning processes: Supervised learning, Unsupervised learning and
Reinforcement learning
1.3 Learning Rules : Hebbian Learning Rule, Perceptron Learning Rule, Delta
Learning Rule, Widrow-Hoff Learning Rule, Correlation Learning Rule, WinnerTake-All Learning Rule
1.4 Applications and scope of Neural Networks
10
2
Supervised Learning Networks :
2.1 Perception Networks - continuous & discrete, Perceptron convergence theorem,
Adaline, Madaline, Method of steepest descent, - least mean square algorithm,
Linear & non-linear separable classes & Pattern classes,
2.2 Back Propagation Network,
2.3 Radial Basis Function Network.
12
3
Unsupervised learning network:
3.1 Fixed weights competitive nets,
3.2 Kohonen Self-organizing Feature Maps, Learning Vector Quantization,
3.3 Adaptive Resonance Theory - 1
06
4
Associative memory networks:
4.1 Introduction, Training algorithms for Pattern Association,
4.2 Auto-associative Memory Network, Hetero-associative Memory Network,
Bidirectional Associative Memory,
4.3 Discrete Hopfield Networks.
08
5
Fuzzy Logic:
5.1 Fuzzy Sets, Fuzzy Relations and Tolerance and Equivalence
5.2 Fuzzification and Defuzzification
5.3 Fuzzy Controllers

[@98_shubhamr.sharma78]

For Last Vector at (4,1) the value is not 0.425 it is 0.725.
But it was an great tutorial I have exams coming this really should help me. Thank you for your efforts keep helping us and future generations to come !!!!!

[@suryaveerkadyan7504]

This guy is a life saver for my Neuro fuzzy exams!!! Thanku so so much!!!!!

[@kdkdkekkekskskkeke4188]

Great video. Best explanation ever.continue with more videos please .👍👍👍

[@vivekkaushal1535]

Very clear and precise. Keep it up bro.

[@manusharma13]

Thank u so much for explaining such topics... your videos help me a lot.. many books are available but couldn't find such examples ...God bless u

[@shubhamgujare7912]

0.75x 😂

[@tppt3987]

What are you saying!! I watched it at 2x.

[@dr.sheldoncooper4828]

@@tppt3987 same

[@Mostafa-qr5ls]

If you tried 0.5x you wouldn't have said that

[@omkarkoli8225]

thankyou for the video

[@edgardogtti]

No sé inglés y aún así entendí perfectamente. Excelente explicación👌

[@tymothylim6550]

Thank you very much for this tutorial, friend :) It was very helpful.

[@vgreddysaragada]

well explained..thank you

[@meghasharma1703]

The value for w41(new) that I get in the end is 0.725 for the 4th input vector.

[@abhilashmajumdar4524]

Yes.... absolutely right !!

[@SAM-uy2ek]

Wrong

[@nikronic]

Thank you again! I really do not know why people say you explain fast! I really learned very well, and you, you have backward button on your media player too.

[@hrb9877]

There is less time in my life, I m gonna die soon.

[@nikronic]

@@hrb9877 There is forward button too! ;-)

[@hrb9877]

@@nikronic Foraward button bafkward buttons dabane se acha video normal speed pe bana leta, I already running short of time no time to do forward and backward

[@pk5432]

I'm subscribed your channel for this video...
This video helped me in correct situation

[@_cestd9727]

you sir are a GENIUS, many thanks!!!

[@yassersayed6109]

Many Thanks, but i think the very last figure (weight) = 0.725 Not 0.475 --> Calculation 0.45 + 0.5 (1*0.45) = 0.725

[@bhaviyachopra9948]

(1-0.45) not (1*0.45)

[@viratriyaz2634]

Yeah bro u r right

[@KaranDhimanOfficial]

Yes bhai

[@mohsinak5317]

Great explanation and demonstration. Big thanks. Please try to make a video on Back propagation with example like this one. Thanks once again!

[@farrishaikalfathil248]

Thanks man! much help

[@md.rubelparves4482]

problem has been solved, many many thanks...........

[@mirkoj.rodriguezmallma1757]

This example can be found on the book "Fundamentals of Neural Networks" by Laurene Fausett (page 169). It is well explained there.

[@kajalpatil7746]

very nicely explained

[@sergioherrera2305]

Thank you so much! Very well explained!

[@radhasingh3549]

Brooo thank you so much. Nice explanation👏

[@horazon3465]

Good explanation sir

[@sahityayerubandi7830]

When would the updation of weights Stop? How do we know the number of epochs or iterations required ?

[@BubaBojang]

When there is no noticeable changes after weight updates

[@mariuspy]

According to the video, when you finish calculating with the input vectors

[@pelayorodriguez2257]

por favor habla mas despacio. I like it!!! Good video, congratulations!!!!

[@_vasu2907]

Bro, mzze aa gye

[@hendrik6720]

i often joke about 'pajeets' but you guys dont get enough credit for how hard you study.
thanks for the video man.

[@janeertaev6667]

Thank you so much! It helps a lot! 💜💜💜💜

[@yashjalan3860]

When will we update learning rate? Not even once was it updated in the video

[@peddikishor6407]

NICE VIDEO... please add a video to update the learning rate... show the final output i.e. output clusters

[@vieacademy6235]

Good and clear explanations, Sir. Thank you.

[@pervysage2596]

Nice samja sab!

[@Interesting_Info_Guru]

Very nice

[@nikitasinha8181]

Thank u so much

[@yingzhehe7050]

Excellent！

[@venkatk1591]

good explanation

[@WiseWordstube4u]

thanks for the explanation

[@gorenekli]

Thank you for your efforts

[@aydinahmadli7005]

great video))

[@swasthikbhatt9833]

Thank you sir

[@gbengaomotara2102]

Thanks for the video.
What is the convergence criterion?

[@dilshanpathiranacombinedma3966]

Superb !

[@mohammedk.h.f3016]

Thank you

[@RaviShankar-jm1qw]

really appreciate the hard work and tremendous job done :)

[@clydebelasso5826]

Is there a reference book you can provide for your tutorials ?

[@SuperMehta007]

Nice video but don't we update the learning rate?

[@garikinarajesh1999]

Superrr bro

[@DJEYkanjaria]

Bhai thoda slow kr le... BTW great work

[@er.ajeetyadav112]

Right

[@sebastien1234]

Kyaa aap ki train ki late hore the kya bro

[@deepakcr7243]

Good

[@carlosavalbuena9900]

Very good tutoring my question is, how could clustering data from a matrix, like an image.

[@malikimran110]

nice video, can you please update the video of CPN

[@alericp97]

Please add more videos as my exams are very soon

[@er.parmeetrooprai5254]

Bhai dhanyawad 🙏pass kardega tu bhai

[@user-vn3dg9lp2g]

you are genius
thank you so much that was very useful for me
by the way, results of w new is false

[@enesterzi8617]

This question can be stupid but I have to ask. So If we have 3 values in inputs (instead of four , like [1,0,1]) how we calculate then ?

[@accidentalGamer69]

You started directly with an algorithm, why didn't explained the SOM first

[@saintmoglis]

So what happens after this? I update the learning rate and keep going i suppose...
But how long? What is the condition for stopping? I have to set limit to how small the learning rate can be? (for example set it to 10^-4) Or am missing something big here?

[@ameygoes]

itna ghai me kaha ja rahe the bhai??

[@sanakausar2095]

itna speed tha ki man hi ni kiya dekhne ka

[@yogaoriginals1562]

😘😘💞

[@khemendrasingh2446]

@btech tutorial plz tell me the source of the question from where did you took the question ?

[@omkarvadam5696]

Hey pillai guys....

[@adebayosalaudeen7050]

Please, how did you get the values for the initialized weights?

[@btechtutorialByNishantMittal]

Small Random values have been considered.For one Cluster in increasing order, For the other in decreasing.

[@adebayosalaudeen7050]

@@btechtutorialByNishantMittal so, I can choose any random number that is less than 1

[@btechtutorialByNishantMittal]

Yes u can.

[@triyanberi3759]

where did the value of alpha come from ?

[@pkmekmuenkn6964]

Ç Plz provide video of Linear Programming Problem using graphic and DuAl SIMPLEX method with examples

[@ruthvikchandra4715]

bro you have written wrong formula for eucledian distance at 2:35, it should (xi-wij)^2

[@shashidhar.chintut.shahsid4161]

However both give you the same result....

[@nadeomnilakhqa5505]

How identity alpha?

[@markosmuche4193]

i adore your speed, which is not found in the other Indians, no offence.

[@shivanipatidar3829]

Step 4 learning rate α kb update krenge apne explain bhi nho ki 4th step

[@g2gtech]

bhai bhot speed se kya sab kuch aap ne 😀

[@Akshaylive]

Please teach the linear algebra instead of the arithmetic :p

[@hrb9877]

Tereko slow motion mei sune kya, kitna fast bhagega....yaha pe slow learner aate hai isliye toh colg mei samaj nai aata....LD candidtates please like me

[@sahanamakam7722]

How value is ...W41 =0.475 ??

[@l4m5]

Reduce speed to 0.75, use your pen and paper to follow along

[@raoehtesham5746]

Can i get notes of this subject ?

[@rashidlodhi9389]

Nice . But too fast . Slow study wins the race.

[@phuccoiinkorea3341]

How to visualize that code

[@iamzainshahbaz]

flash who?

[@zainpatel4239]

When do we use step4..
Learning rate a=0.5a

[@btechtutorialByNishantMittal]

After one complete iteration.

[@TheBenjamin_]

When do you update the value of alpha?

[@theodor-alexandrutufa7545]

in tunning paramters, where you try different learning rates

[@ramyaksamara1882]

Y so hurry??

[@samuelsugur383]

Terko etna kaha bhag kar jaana tha. Etna fast tutorial banaya.

[@shagalsajid9843]

what about step 4???? updating learning rate???

[@alericp97]

Learning rate is multiplied by 0.5 for every epoch

[@yogendrapratapsingh7618]

Plss explain faster bro...Bore ho gae itna slow me

[@zalmaisapai8524]

why this much speed?? absolutely not needed.

[@sangarabdullah1667]

r=?

[@vijaysaimallipeddi6149]

teach slowly bro pls

[@daddy.69.]

[@btechtutorialByNishantMittal]

[@suriyaj2201]

ussain bolt is slower than u

[@anujsrivastava9069]

Is that Sachin Tendulkar's voice??😂😂😂

[@hrb9877]

haha

[@randythamrin5976]

thank you , hope you drink after :D

[@akashdeepshukla9077]

If possible use Hindi language for explaining

[@user-xs8nt8ce4z]

you are very fast i can’t understand

[@accidentalGamer69]

already 1.25x, lol

[@rishirc2497]

Say slow bro not catching an express..

[@chadshinobi69]

Bruh don't mean to be rude but its ok to catch ur breath once in a while instead of rushing it.... Everything else was good nice explanation

[@tanushreedutta5808]

please speak little slow

[@shubhamgujare7912]

O.75x is the key to watch !

[@AbhinavKumar-qn1dt]

Huh! and I was playing this at 1.5x

[@shubhamgujare7912]

@@AbhinavKumar-qn1dt It ain't EDM bruh

[@AbhinavKumar-qn1dt]

Drop the beat

[@shubhamgujare7912]

@@AbhinavKumar-qn1dt hahahha

[@MixPenspinner]

HAHAHAHHA ARE YOU IN A RUSH OR WHAT

[@srinivasarukonda8768]

I think it's his way of teaching

[@nikitasinha8181]

Thank u so much