A special issue of Informatics (ISSN 2227-9709).

** Scope and Topics **
In recent years, the study of Randomized Neural Networks has received a great deal of attention from the neural networks research community, making the randomized approach a successful, widely-popular, and well-attested paradigm for learning in a large class of domains.
This Special Issue calls for contributions that target the study and analysis of randomized neural networks from both theoretical and application viewpoints. The topics of interest include, but are not limited, to the following:
- neural networks with random weights
- randomized algorithms for neural networks
- random vector functional link, extreme learning machines, no-prop, and stochastic configuration networks
- reservoir computing, echo state networks, and liquid state machines
- deep neural networks with random weights (e.g., deep extreme learning machines and deep echo state networks)
- neural networks based on random projections
- physical implementations of randomized neural networks
- real-world applications

** Manuscript Submission Information **
Manuscripts should be submitted online at www.mdpi.com. Please visit the Instructions for Authors page before submitting a manuscript. 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 the 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. Informatics is an international peer-reviewed open access quarterly journal published by MDPI.

** Guest Editor **
Claudio Gallicchio (University of Pisa, Italy)