> Its the end of the year. I’m not where I wanted to be at the end of the year. On the other hand, I’m in a better place than I was at the beginning. Progress in small steps. State of the program. I’ve put the program up on Github.com under a GPLv3 license. This […]
> So I hit an interesting place a little more than a month ago. My program worked. But it didn’t give results that were terrible helpful. Talk about an anti-climax. First, the good part. The good part is that the GA+NN combination works wonders. I had it crunching through 50 different chromosomes for about 30 […]
>With the reading of the Yu, Wang & Lai book (Foreign-exchange-rate forecasting with artificial neural networks), I decided to implement a Genetic Algorithm (GA) to figure out which indicators are actually useful for predicting the future price. This involved further refactoring of the code. Genetic algorithms A GA works by sampling and scoring different possible […]
Algorithms Refactored code So far I’ve been (Naively) making a new symbol for every node in the neural net. Then, whenever I have to change the number of input or hidden nodes, I have to do it by hand. This is time-consuming, and I don’t like it. So I spent about 2 hours trying to […]
> Finally, a discovery After months of reading through articles online and searching for books in the public library, I finally hit upon a book that explains neural nets to me in a manner that I understand and can implement. It explained things to me in a clear manner, and I finally got it. This […]