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Neural Networks, Fuzzy Systems and Other Computational Intelligence Techniques for Advanced Process Control

Special Issue Information

Dear Colleagues,

Computational intelligence (CI) techniques have been developing very fast during the past two decades, with many new methods emerging. Novel machine learning techniques, such as deep learning, convolutional neural networks, deep belief networks, long short-term memory networks, and reinforcement learning, have been successfully applied to solve many complicated problems ranging from image processing to natural language processing. These novel CI techniques have also been applied to process systems engineering areas with many successful applications reported, such as data-driven modelling of nonlinear processes, inferential estimation and softsensors, intelligent process monitoring, and process optimisation based on CI techniques.

This Special Issue on “Neural Networks, Fuzzy Systems, and Other Computational Intelligence Techniques for Advanced Process Control” aims to curate novel advances in the development and application of computational inteligence to address longstanding challenges in process systems engineering. Topics include but are not limited to:

  • Data-driven modelling of industrial processes using machine learning techniques such as neural networks;
  • Intelligent process control using neural networks, fuzzy systems, and other computational intelligence techniques;
  • Intelligent image analysis in process systems engineering;
  • Inteligent process monitoring using computational intelligence techniques; and
  • Process optimisation using computational intelligence techniques.

Dr. Jie Zhang
Prof. Dr. Meihong Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • neural networks
  • fuzzy systems
  • computational intelligence
  • machine learning
  • process modelling
  • process monitoring
  • intelligent control

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Published Papers