Unified signal processing and machine learning for modeling nonlinear complex systems.

摘要

Modeling Complex systems usually needs to be done with using different techniques from different fields. Signal processing and machine learning can play a significant role in developing models to analyze complex systems. In this proposal, the application of signal processing and machine learning in developing models for two types of complex systems is studied. The first set of complex systems include inferring gene regulatory networks and the second set includes money service business.