Artificial neural networks based optimization techniques: A review
In the last few years, intensive research has been done to enhance artificial intelligence (AI)
using optimization techniques. In this paper, we present an extensive review of artificial …
using optimization techniques. In this paper, we present an extensive review of artificial …
Recent trends on hybrid modeling for Industry 4.0
The chemical processing industry has relied on modeling techniques for process monitoring,
control, diagnosis, optimization, and design, especially since the third industrial revolution …
control, diagnosis, optimization, and design, especially since the third industrial revolution …
[HTML][HTML] Machine learning in chemical engineering: strengths, weaknesses, opportunities, and threats
MR Dobbelaere, PP Plehiers, R Van de Vijver… - Engineering, 2021 - Elsevier
Chemical engineers rely on models for design, research, and daily decision-making, often
with potentially large financial and safety implications. Previous efforts a few decades ago to …
with potentially large financial and safety implications. Previous efforts a few decades ago to …
Process systems engineering–the generation next?
Abstract Process Systems Engineering (PSE) is the scientific discipline of integrating scales
and components describing the behavior of a physicochemical system, via mathematical …
and components describing the behavior of a physicochemical system, via mathematical …
Machine learning in chemical engineering: A perspective
The transformation of the chemical industry to renewable energy and feedstock supply
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …
requires new paradigms for the design of flexible plants,(bio‐) catalysts, and functional …
[HTML][HTML] Marine energy digitalization digital twin's approaches
Digital twins (DTs) promise innovation for the marine renewable energy sector using modern
technological advances and the existing maritime knowledge frameworks. The DT is a …
technological advances and the existing maritime knowledge frameworks. The DT is a …
Strong mixed-integer programming formulations for trained neural networks
We present strong mixed-integer programming (MIP) formulations for high-dimensional
piecewise linear functions that correspond to trained neural networks. These formulations …
piecewise linear functions that correspond to trained neural networks. These formulations …
OMLT: Optimization & machine learning toolkit
The optimization and machine learning toolkit (OMLT) is an open-source software package
incorporating neural network and gradient-boosted tree surrogate models, which have been …
incorporating neural network and gradient-boosted tree surrogate models, which have been …
[HTML][HTML] A review on superstructure optimization approaches in process system engineering
In this paper, we survey the main superstructure-based approaches in process system
engineering, with a particular emphasis on the existing literature for automated …
engineering, with a particular emphasis on the existing literature for automated …
Machine learning in process systems engineering: Challenges and opportunities
This “white paper” is a concise perspective of the potential of machine learning in the
process systems engineering (PSE) domain, based on a session during FIPSE 5, held in …
process systems engineering (PSE) domain, based on a session during FIPSE 5, held in …