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. 

FOUNDING EDITOR
Howard James

JOURNAL ADMINISTRATOR
Tanya Daly, United Kingdom

For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.