The journal Advances in Computational Intelligence (ADCI) aims at covering the complete topical spectrum of Computational Intelligence, ranging from design to the application and development of computational methods in any intelligent system.
From the core of computational intelligence — the pillars of neural networks, fuzzy systems, evolutionary computation and probabilistic methods — through to more recent developments in nature-inspired paradigms, deep learning methods, generative adversarial networks, and so forth, the purpose of ADCI is to provide a high-profile publication platform, promoting and stimulating innovative research in design and application alike.
Covering a wide range of topics, ADCI provides a forum for researchers, academics, industrial professionals and educators involved in the field, for the publication of both experimental and theoretical research, as well as surveys and impact studies.
Core sections of the journal ADCI are:
Ambient Intelligence and Humanized Computing
Machine Learning and Cybernetics
- Main Editor
- Vincenzo Loia,
- Raffaele Cerulli,
- Xi-Zhao Wang
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us