Predicting Chaotic Systems
Kyle and Alex discuss the advantages of using techniques that model the underlying system in chaotic and unpredictable data, such as the Earth's rotation and orbit, and the limitations of these models for phenomena like stock market prediction and climate change. They also explain how a neural network introduces nonlinearity to reflect the behavior of nonlinear dynamical systems.In this clip
From this podcast
Data Skeptic
Long Term Time Series Forecasting
Related Questions