Aims and scope
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 but not limited to:

adaptive computing
algorithms
applicable neural networks theory
applied statistics
architectures
artificial intelligence
benchmarks
case histories of innovative applications
fuzzy logic
genetic algorithms
hardware implementations
hybrid intelligent systems
intelligent agents
intelligent control systems
intelligent diagnostics
intelligent forecasting
machine learning
neural networks
neuro-fuzzy systems
pattern recognition
performance measures
self-learning systems
software simulations
supervised and unsupervised learning methods
system engineering and integration
Featured contributions fall into several categories: Original Articles, Review Articles, Book Reviews and Announcements.
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.