Delta rule Neural Networks
This posting will not go into much detail, but this type of model is something like a logistic regression, where a linear model is calculated on the input variables, then passed through a squashing function (in this case the logistic curve). Such models are most often used to model binary outcomes, hence the dependent variable is normally composed of the values 0 and 1.
Single neurons with linear functions (with squashing functions or not) are only capable of separating classes that may be divided by a line (plane, hyperplane), yet they are often useful, either by themselves or in building more complex models.
Use help DeltaRule for syntax and a simple example of its use.
Anyway, I thought readers might find this routine useful. It trains quickly and the code is straightforward (I think), making modification easy. Please write to let me know if you do anything interesting with it.
If you are already familiar with simple neural models like this one, here are the technical details:
Learning rule: incremental delta rule
Learning rate: constant
Transfer function: logistic
Source: Data Mining in MATLAB
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But mostly traders are speculating against $$s2007-11-26 13:29:11 by dylanman
Perhaps the $ selloff is overdone now, who knows. I thought this news bit was interesting. Yen carry traders who have been phreaakked by the pittance of a rate increase by the bank of japan, have been switching over. A good short term call it's proven to be, but I'm skeptical and have a bearish view of the yen.
excerpt from article below:
Dollar Displaces Yen, Franc as Favorite for Funding Carry Trade
By Bo Nielsen
Nov. 26 (Bloomberg) -- Using the dollar to pay for purchases of currencies with higher yields is proving to be the most profitable trade in the foreign-exchange market.
A basket of currencies including the British
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