Application of Neural Networks and Deep Learning
A special issue of Mathematics (ISSN 2227-7390). This special issue belongs to the section "Mathematics and Computer Science".
Deadline for manuscript submissions: 30 April 2025 | Viewed by 227
Special Issue Editors
Interests: neural networks; deep learning; reinforcement learning
Interests: intelligent information processing and intelligent control; advanced control theory and application
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The neural network is a computational model based on the structure and function of a biological nervous system, capable of recognizing patterns and regularities through learning. Deep learning is a neural network-based machine learning technique that uses multiple layers of nonlinear transformations to learn high-level representations to implement tasks such as classification, regression, and generation. Recently, the application of neural networks and deep learning has been realized in both academic and industrial perspectives.
This Special Issue, entitled “Application of Neural Networks and Deep Learning”, presents the latest research and developments in neural networks and deep learning for various engineering, science, and management applications. This Special Issue aims to serve as a forum for exchanging ideas and knowledge among researchers and practitioners worldwide, inspiring new research directions and applications in this field. Both original research articles and review papers are welcome for submission to this Special Issue. Topics might include but are not limited to the following:
- Fuzzy neural network control;
- Intelligent control;
- Reinforcement learning;
- Deep learning.
Dr. Yundi Chu
Dr. Shixi Hou
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. Mathematics 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 2600 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 neural network control
- intelligent control
- reinforcement learning
- deep learning
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