Autonomous Predictors, Estimators, Filters, Inferential Sensors
The autonomous learning systems (ALS) concept described in this book is quite generic and can be applied to numerous problems. They can be summarised as:
Clustering was described in Section 3.2. In the context of ALS one can use AutoCluster or the ELM approach; that is, evolving clustering methods, which were described in Section 3.2.3.
7.1 Predictors, Estimators, Filters – Problem Formulation
In this chapter the problem B as itemised above will be described, namely, predictors, estimators, filters and inferential sensors. These seemingly different problems that are subject to various disciplines such as forecasting and statistical learning, signal processing, chemical industry automation, system identification, and so on can be combined in the simplistic representation of Figure 7.1.
This extremely simplistic diagram represents a vector of inputs, being transformed into the outputs, ...