Predictive Perceptron Networks: Temperature Forecasting Using Machine Learning
A.B. Lucas S.S.
Temperature is a highly chaotic and strongly emergent naturally occurring pattern. For centuries, scientists have been interested in studying and determining the relationship between measurable climactic conditions and future temperatures. This project attempts to create a model that can accurately and efficiently map temperature as a function of these climactic conditions in order to forecast temperature at a given point in the future.
Excellence Award – Senior Bronze Medal
My name is Sascha Bodak. My hobbies include reading, programming and playing chess. In the future would like to become a chemical engineer. I also enjoy camping and canoeing and spend the majority of my summers in Ontario’s wilderness. My love of music, neurology and computer science inspired this science fair project. If I am able to continue with my study I would like to measure hormone levels in the blood streams of my participants in order to gain quantitative results.