Neural Computing and Applications
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
- applicable neural networks theory
- applied statistics
- artificial intelligence
- 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.
An improved feed-forward neural network based on UKF and strong tracking filtering to establish energy consumption model for aluminum electrolysis process
- Journal Title
- Neural Computing and Applications
- Volume 1 / 1993 - Volume 28 / 2017
- Print ISSN
- Online ISSN
- Springer London
- Additional Links
- Industry Sectors
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