Advances in Neural Networks and Deep Learning

Dear Colleagues,

Neural networks and deep learning are rapidly growing fields that have become crucial in various domains such as image recognition, speech recognition, natural language processing, and robotics. This Special Issue aims to provide a platform for researchers to share their latest advances in neural networks and deep learning, and their applications in solving real-world problems.

Topics of interest for this Special Issue include, but are not limited to:

• New architectures and algorithms for neural networks and deep learning;
• Advances in fuzzy neural networks, spiking neural network, extreme learning machine and support vector machine;
• Applications of neural networks and deep learning in computer vision, speech recognition, natural language processing, and robotics;
• Transfering learning techniques in neural networks and deep learning;
• Neural network optimization and regularization techniques;
• Deep learning for data analysis and prediction;
• Adversarial machine learning and its applications.

We invite researchers to submit their original research articles, reviews, and short communications related to the above topics. All submissions will undergo a rigorous peer-review process, and accepted papers will be published in the Special Issue of Applied Sciences.

Prof. Dr. Dongpo Xu
Prof. Dr. Huisheng Zhang
Dr. Jie Yang
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 250 words) can be sent to the Editorial Office for assessment.

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.