Neural Computing and Applications

ISSN: 0941-0643 (Print) 1433-3058 (Online)


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, 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.

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

Browse Volumes & Issues

Latest Articles

  1. No Access

    Original Article

    SVM-based robust image watermarking technique in LWT domain using different sub-bands

    Mohiul Islam, Amarjit Roy, Rabul Hussain Laskar (August 2018)

  2. No Access

    S.I. : Emerging Intelligent Algorithms for Edge-of-Things Computing

    Gray relational clustering model for intelligent guided monitoring horizontal wells

    Haibo Liang, Yuqi Sun, Guoliang Li, ZhengLin Li (August 2018)

  3. No Access

    S.I. : Machine Learning Applications for Self-Organized Wireless Networks

    Robust object tracking with the inverse relocation strategy

    Shuhe Sun, Zhiyong An, Xinbo Jiang, Bin Zhang (August 2018)