Neural Computing & Applications

About the journal

Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.All items relevant to building practical systems are within its scope, including contributions in the area of applicable neural networks theory, supervised and unsupervised learning methods, algorithms, architectures, performance measures, applied statistics, software simulations, hardware implementations, benchmarks, system engineering and integration and case histories of innovative applications.Featured contributions fall into several categories: Original Articles, Review Articles, Forum Presentations, Book Reviews, Announcements and NCAF News.The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. The Forum Presentations will be summaries of oral presentations made at quarterly meetings of the Natural Computing Applications Forum which will generally be reviewed by one referee.

Articles

• O. Georgieva, S. Milanov, Petia Georgieva, I.M. Santos, A.T.Pereira, C. F. da Silva. Learning to decode human emotions from ERPs. Neural Computing & Applications, vol. 26, no. 3, p. 573-580, April 2015
• Cristina Oliveira, Petia Georgieva, Fernando Rocha, Sebastião Feyo de Azevedo. Artificial neural networks for modeling in reaction process systems. Neural Computing & Applications, vol. 18, no. 1, p. 15–24, January 2009

Impact factor

The impact factor of Neural Computing & Applications is as follows: