On 07/16/2011 07:21 PM, Christopher King wrote:
Actually maybe not, depending on the complexity of the pattern, but it would
be difficult. You would have to know how much it decreases for every time
you go down or to the right.
If its more complex than that, you may have to program each rule in,
Actually maybe not, depending on the complexity of the pattern, but it would
be difficult. You would have to know how much it decreases for every time
you go down or to the right.
If its more complex than that, you may have to program each rule in, not
just enter them in a prompt. I'm assuming none
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 e
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
interest
On 7/16/2011 9:24 AM B G said...
I was just wondering how feasible it would be to build something like
the following:
Brief background, in chemistry, the ionization energy is defined as the
energy required to remove an electron from an atom. The ionization
energies of different elements follow g
I was just wondering how feasible it would be to build something like the
following:
Brief background, in chemistry, the ionization energy is defined as the
energy required to remove an electron from an atom. The ionization energies
of different elements follow general trends (ie moving left to ri
