This month I have made the most progress so far. I am definetly on track according to my timeline and actually a little further ahead than I thought I would be at this point. Since I am currently home for thanksgiving break, I enlisted the help of my older brother William. His strong background in math, computer science, and engineering was extremely helpful. As mentioned in my previous post, we used python to create a neural network which gave us a nearly exact approximation of the ENSO values for multiple months. A neural network is a computer system modeled on the human brain and nervous system. A neural network uses a large number of processors arranged in tiers. The first tier receives the raw input data, and adds a 'weight' onto it. Each successive tier receives the output from the previous tier. The last tier produces the output, which in this case, is the ESNO value. I have attached a picture I found on google images to make this clearer. The computer system we used automatically adds a weight and keeps readjusting it until it gets closer and closer to the actual value it is looking for. My last blog post shows a screenshot of that graph. Although this so far can only predict one month in advance, I am trying to figure out a way to predict further ahead. Hopefully, an entire year ahead.
1 Comment
Jon Calos
12/1/2017 04:57:11 am
Great that you are ahead of schedule, and I love that you brought your brother into the work. I am glad that you are so well positioned to begin the spring semester.
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