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.