On 07/16/2011 05:32 PM, B G wrote:
Thanks, Emile-- although I'm not sure I was completely clear about my
objective. What I really meant is that is there a way (via machine learning)
to give the computer a list of rules and exceptions, and then have it
predict based on these rules the ionization energy. Ultimately I'm pretty
interested in the idea of building a program that could predict the expected
result of a chemical reaction, but that's a huge project, so I wanted to
start with something much, much, much smaller and easier.
So I don't really want to manually input ionization energy, atomic radius
size, etc, since I'm not sure how much that would help towards the bigger
goal. For this project, I already have the ~15 rules that describe trends
on the periodic table. I want to write a program that, based on these rules
(and the few exceptions to them), could predict the inputs that I want.
Does this make sense?
Neither ordering nor trends will give values for individual items. So
unless these rules are much more numerical than the clues you've
mentioned so far, the problem is clearly impossible.
But I suspect the problem is possible, and that you have much more
information than you intend to tell us.
--
DaveA
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