Active Mining from Process Time Series by Learning Classifier System
Setsuya Kurahashi, Takao Terano · Transactions of the Japanese Society for Artificial Intelligence · 2002
Continuation processes in chemical and/or biotechnical plants always generate a large amount of time series data. However, since conventional process models are described as a set of control models, it is difficult to explain the complicated and active plant behaviors. Based on the background, this research proposes a novel method to develop a process response model from continuous time-series data.