Applied Neural Networks and Fuzzy Logic
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (15 November 2023) | Viewed by 1648
Special Issue Editors
Interests: deep neural networks; fuzzy logic; machine learning; artificial intelligence; artificial neural networks; convolutional neural networks
Special Issue Information
Dear Colleagues,
It is my pleasure to invite you to submit your valuable work to this Special Issue on “Applied Neural Networks and Fuzzy Logic” to the MDPI journal Applied Sciences.
Neural networks and fuzzy logic are two powerful techniques in the field of artificial intelligence that have received great attention in science, academia and industry. These systems can be combined to create hybrid intelligent systems that take advantage of both approaches and are capable of handling complex real-world problems that are difficult to solve with traditional methods. Some common applications of neural networks and fuzzy logic include pattern recognition, image or video processing, forecasting, time-series processing, real-time decision systems, classification tasks, control systems, financial analysis, medical diagnosis and robotics.
The aim of this Special Issue is to contribute to the state-of-the-art and the latest studies on neural networks and fuzzy logic with theoretical, practical, and creative insights that provide vanguard solutions to challenging problems or that can demonstrate competitive performance.
Potential themes include, but are not limited to, the following:
- Neuro-fuzzy models.
- Mathematical fuzzy logic models.
- Hybrid intelligent systems.
- Novel deep learning architectures.
- Applied fuzzy logic.
- Novel artificial neural network applications.
- Optimization of neural network architectures.
- Convolutional neural network theory and applications.
- Machine learning models.
Prof. Dr. Claudia I. González
Prof. Dr. Mauricio A. Sanchez
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. Applied Sciences is an international peer-reviewed open access semimonthly 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
- fuzzy logic
- neural networks
- machine learning
- deep learning
- deep neural networks
- applied neural networks
- applied fuzzy logic
- fuzzy set theory
- fuzzy clustering
- novel deep learning architectures
- computer vision
- any novel theoretical developments on deep learning
- machine learning
- artificial neural networks
- deep learning
- deep learning algorithms
- deep learning architectures
- deep learning applications
