Special Issue "Theory and Applications of Fuzzy Systems and Neural Networks"
Deadline for manuscript submissions: 31 October 2020.
Interests: computational intelligence; machine learning; fuzzy logic; neural networks
Interests: artificial intelligence; fuzzy logic; robotics and automation; fashion design
Fuzzy systems and neural networks are the main theoretical approaches in computational intelligence. These approaches have been successfully applied in a wide range of fields such as information science, mathematics, control engineering, image processing, pattern recognition, robotics, mechatronics, consumer electronics, and systems optimisation. They provide an effective tool for data and knowledge-based modelling as well as dealing with many real-world problems with quantitative and qualitative complexity in terms of dimensionality and uncertainty.
Fuzzy systems and neural networks complement each other very well and can also be combined with other computational and artificial intelligence-based techniques such as evolutionary algorithms and machine learning to solve complex real-world problems. The integration of fuzzy systems and neural networks, in particular, can bring out the best of both approaches and usually provides better system performance in terms of modelling efficiency and accuracy.
This Special Issue aims to publish original research of the highest scientific quality related to the theory and applications of fuzzy systems and neural networks. We invite original and unpublished submissions that feature innovative methods for enhancing fuzzy systems and neural networks. The scope includes theoretical and experimental studies that contribute to novel developments in fundamental research and its applications.
Potential topics for submissions include but are not limited to:
- Fuzzy systems for modelling and simulation
- Neural networks for modelling and simulation
- Fuzzy systems for classification and recognition
- Neural networks for classification and recognition
- Neuro fuzzy systems
- Fuzzy neural networks
- PD fuzzy and neural control
- PID fuzzy and neural control
- Model based fuzzy and neural control
The technical program committee members are as follows:
1. Dr. Sina Razvarz
Departamento de Control Automatico, CINVESTAV-IPN (National Polytechnic Institute), Mexico City 07360, Mexico
2. Dr. Fazad Arabikhan
School of Computing, University of Portsmouth, Portsmouth P05 3JT, UK
Dr. Alexander Gegov
Dr. Raheleh Jafari
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 papers will be 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. Electronics 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 1500 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.
- fuzzy systems
- neural networks
- intelligent systems
- computational intelligence
- artificial intelligence
- machine learning