Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.

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Overview:

Neurocomputing welcomes theoretical contributions aimed at winning further understanding of neural networks and learning systems, including, but not restricted to, architectures, learning methods, analysis of network dynamics, theories of learning, self-organization, biological neural network modelling, sensorimotor transformations and interdisciplinary topics with artificial intelligence, artificial life, cognitive science, computational learning theory, fuzzy logic, genetic algorithms, information theory, machine learning, neurobiology and pattern recognition.

Neurocomputing covers practical aspects with contributions...

http://www.journals.elsevier.com/neurocomputing/

Journal Metrics

• Source Normalized Impact per Paper (SNIP): 1.762ℹ
• SCImago Journal Rank (SJR): 1.211ℹ
• Impact Factor: 2.083ℹ
• 5-Year Impact Factor: 2.292ℹ