A growing literature within the field of chemical engineering describing the use of artificial
neural networks (ANN) has evolved for a diverse range of engineering applications such as …

Abstract The versatility of Artificial Intelligence (AI) in process systems is not restricted to
modelling and control only, but also as estimators to estimate the unmeasured parameters …

Soft Sensors for Monitoring and Control of Industrial Processes | SpringerLink Skip to main
content Advertisement SpringerLink Log in Menu Find a journal Publish with us Search Cart …

This paper presents the development and the industrial implementation of a virtual sensor
(soft-sensor) in the polyethylene terephthalate (PET) production process. This soft-sensor …

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of
this book is the application of biologically inspired algorithms (BIAs) to financial modelling. In …

Modern computer-based control systems are able to collect a large amount of information,
display it to operators and store it in databases but the interpretation of the data and the …

Heterogeneous, multi-component materials such as industrial tailings or by-products, along
with naturally occurring materials, such as ores, have been intensively investigated as …

This paper presents a technique for building robust non-linear models by aggregating
multiple neural networks. Data for building non-linear models are re-sampled using …

Low-density polyethylene (LDPE) and ethylene vinyl acetate (EVA) copolymers are
produced in free radical polymerization using reactors at extremely high pressure. The …

Polymerization process can be classified as a nonlinear type process since it exhibits a
dynamic behaviour throughout the process. Therefore, it is highly complicated to obtain an …