Special Issue "Selected Papers from the 26th International Conference on Artificial Neural Networks - ICANN 2017"
Deadline for manuscript submissions: closed (28 February 2018)
Prof. Dr. Arkadiusz Orłowski
Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences - SGGW, ul. Nowoursynowska 166, Warsaw 02-787, Poland
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Interests: machine learning; image analysis and pattern recognition; artificial neural neworks; quan-tum information and reversible computing; classical and quantum entropies; physics of information; distributed computing; modeling of complex systems
Prof. Dr. Roseli S. Wedemann
Instituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro, Rua São Francisco Xavier 524, Rio de Janeiro 20550-900, Brazil
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Interests: theoretical and computational models of complex systems; biological and artificial neural networks; parallel and distributed computing models; mathematical and computational models of brain and mental processes; computational science; statistical mechanics and complex systems
Research in artificial neural networks involves investigations regarding the computational modeling of connectionist systems, inspired by the functioning of the mind and the brain. Ideas, concepts, methods, and techniques from diverse areas such as learning algorithms, graph theory, and information theory are applied to the study of these complex systems. Models inspired by the functioning of the dynamics of neuronal substrates that describe brain and mental processes, and illustrative simulations of these phenomena, are used both to understand the mind and brain, as well as to approach the issue of the development of artificially intelligent devices. Physical quantities such as entropies that reflect relevant properties of the topologies and dynamics of these complex networks are proposed, measured, and analyzed using theories and methods from statistical mechanics, physics of dynamical systems, information theory, and biological models. The connectionist approach, with artificial neural network models and models based on brain functioning, form the area currently called Computational Neuroscience. With this modeling perspective, enduring issues in the area of Artificial Intelligence, regarding the comprehension of the computability (the mechanics) of the human mind are investigated, and contribute to the current discussion regarding the description of basic mechanisms involved in consciousness and also to the development of intelligent machines.
The International Conference on Artificial Neural Networks (ICANN) is the annual flagship conference of the European Neural Network Society (ENNS). The ideal of ICANN is to bring together researchers from two worlds: information sciences and neurosciences. The scope is wide, ranging from machine learning algorithms to models of real nervous systems. The aim is to facilitate discussions and interactions in the effort towards developing more intelligent computational systems and increasing our understanding of neural and cognitive processes in the brain.
We encourage the authors who have presented an article at the 26th International Conference on Artificial Neural Networks (ICANN 2017) and who feel that their contribution is within the scope of interest of the journal Entropy to submit an original and essential extension of the ICANN paper to be considered for publication.Prof. Dr. Arkadiusz Orłowski
Prof. Dr. Roseli S. Wedemann
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. Entropy 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.