Hi

Please excuse my "interrupting" your newsgroup life! It is too many years

since I studied AI, and I can't remember my terminology. These days I work

as a translator, and I was recently asked for the English for the German

term "Absenkungsfaktor" in the context of neural nets. I can translate it

in general terms without a problem, but that doesn't help!

So, anz German-speakers there, can you help me please? Many thanks!

Paul Compton

Hamburg

It seems that nobody here can help me - or that I have approached the

group incorrectly, somehow. Perhaps someone could at least point me in the

right direction, i.e. where I may find the answer?

Many thanks once again

Paul Compton

Try getting in touch with Rene Weber XXXX@XXXXX.COM or XXXX@XXXXX.COM .

Zvi Boger

OPTIMAL - Industrial Neural Systems

Zvi Boger

OPTIMAL - Industrial Neural Systems

Absenkungsfaktor - Disadvantage factor

At a guess I'd say it means negative weight.

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At a guess I'd say it means negative weight.

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Hello Paul,

I don't know any meaning of "Absenkungsfaktor" in the context

of neural nets in German. It's rather an unusal word combination

where "Absenkung" is referring to a geological event (drawdown).

=> Gradient Descent???

Are you able to post the whole sentence or paragraph?

The word "Absenkung" implies that it should be a number that

reduces another number.

Thus an "Absenkungsfaktor" ("Faktor" means multiplication)

should be smaller than 1.

[Result] = [Number] multiplied by ["Absenkungsfaktor"]

y = x * b

80 = 100 * 0.8

The result (product) y when a number x is taken b times - where

b is the "Absenkungsfaktor" - is smaller than x.

Regards,

Konar

I don't know any meaning of "Absenkungsfaktor" in the context

of neural nets in German. It's rather an unusal word combination

where "Absenkung" is referring to a geological event (drawdown).

=> Gradient Descent???

Are you able to post the whole sentence or paragraph?

The word "Absenkung" implies that it should be a number that

reduces another number.

Thus an "Absenkungsfaktor" ("Faktor" means multiplication)

should be smaller than 1.

[Result] = [Number] multiplied by ["Absenkungsfaktor"]

y = x * b

80 = 100 * 0.8

The result (product) y when a number x is taken b times - where

b is the "Absenkungsfaktor" - is smaller than x.

Regards,

Konar

Was my initial thought, but in terms of Absenkung being more a reduction

(subsidence in geological usage) I could hardly imagine that. Here is

a description of the context from the guy who asked me - which makes it

clear that it is not "learning rate" but must come pretty close to

defining it:

###I programmed a small application to use a Kohonen Self-Organizing

Map(SOM)for cluster analysis. It's a 2-Layer ANN (input and output-layer)

with a1-dimensional output layer. The underlying algorithm is unsupervised

anduses a linear decreasing learning function. The learning rate lr will

bedecreased at every iteration step using "lr_new = 'Absenkungsfaktor'

*lr_old".###

Thanks for your help.

Here again (as posted a few minutes ago on another subthread here) is the

description given by the programmer who asked me, when I pressed him for

more info:

###I programmed a small application to use a Kohonen Self-Organizing

Map(SOM)for cluster analysis. It's a 2-Layer ANN (input and output-layer)

with a1-dimensional output layer. The underlying algorithm is unsupervised

anduses a linear decreasing learning function. The learning rate lr will

bedecreased at every iteration step using "lr_new = 'Absenkungsfaktor'

*lr_old".###

Thanks for your help.

The day-to-day life usage was what I also pressed the questioner for in

the end, and I include it here for the sake of completeness - all

subthreads have it now!

###I programmed a small application to use a Kohonen Self-Organizing

Map(SOM)for cluster analysis. It's a 2-Layer ANN (input and output-layer)

with a1-dimensional output layer. The underlying algorithm is unsupervised

anduses a linear decreasing learning function. The learning rate lr will

bedecreased at every iteration step using "lr_new = 'Absenkungsfaktor'

*lr_old".###

Thanks for your help.

Thanks heaps Fred. I spent the morning reading through texts on the

subject, bringing myself a little way back up to speed - unbelievable how

much one "unlearns" over a period of only two years away from AI. Could

have something to do with the memory-impairing illness I guess. :-(

Anyway, I came to the conclusion that my interlocutor has programmed an

extreme simplification, in that most SOM algorithms suggest some other

form of formulaic decrease. So, I was also wondering if there can be a

regular term. This is probably why I haven't found it in any of my

technical references in German either! I will probably opt for "learning

rate decrement" and your own suggestion as the possibilities to present to

him.

Many thanks

Paul Compton

Ah...I see now...many (most?all?) convergence results in ML for iterative

methods that use learning rates require that the learning rate decrease in a

particular way...

I don't think there's an English term for the factor by which the learning

rate is decreased, though...you might consider using "the factor by which

the learning rate is decreased" as a possible locution, though...

Cheers,

Fred.

I don't read or speak German. However, from the context of the other

replies I vote for learning rate 'reduction factor'.

Hope this helps.

Greg

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