[squeak-dev] Ask objects to group themselves by similar meanings of words....

gettimothy gettimothy at zoho.com
Wed Apr 8 15:41:29 UTC 2020


Hi Herbert,



I will get back to you after I read up on Neural Networks. 



I found this on the web, and it looks interesting and challenging.





https://dai.fmph.uniba.sk/courses/NN/haykin.neural-networks.3ed.2009.pdf









cheers,



t 



---- On Sat, 04 Apr 2020 05:53:13 -0400 Herbert König <herbertkoenig at gmx.net> wrote ----


Hi,
 
 I used this for mapping comments from testers to error causes
    (soldering, supplier.....) in production of electronics. I achieved
    a recognition rate 80% which was good because the computer looked at
    100% of the comments, humans (= me :-) at 1%. 
 
 It's shaky, and slow and depends a lot on deciding of the similarity
    criterion and mapping the text input to floats. 1250 trainings
    samples, 1200 Neurons 280 inputs (known words) each take 15 minutes
    to train. The code is from 2007 and I remember running it over night
    because hardware was slower back when. 
 
 Also it was not pure SOFM. Lots of fun thou.
 
 Anyway gettimothy if you want to give it a try, we can talk and I
    can share code.
 
 Cheers,
 
 Herbert
 
 Am 03.04.2020 um 23:23 schrieb
      gettimothy via Squeak-dev:






That's interesting and I will read up on it as I get time.



It is an interesting problem isn't it?



What I might try is having each LatinRoot object visit each
          other one and by some heuristic, have them determine if they
          are "close" to each other.



For giggles, I can randomly assign an integer weight to
          each one, and if the absolute value of their difference is
          within X, then they are close.



That in itself is an interesting problem in itself. How to
          efficiently (or not)  have 800 objects visit the other 799
          objects.

How to store the set of "other close objects" in an object.



Then, as other heuristics of "close" are developed, I can
          re-use that 





Thanks for your reply!



---- On Fri, 03 Apr 2020 17:12:31 -0400 Stéphane Rollandin mailto:lecteur at zogotounga.net wrote ----


Just a wild guess: self-organizing maps?
 
 https://en.wikipedia.org/wiki/Self-organizing_map
 
 Stef
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