Neurocomputing (journal)
Neurocomputing is a peer-reviewed scientific journal published by Elsevier. It focuses on research related to neural networks, fuzzy systems, evolutionary computation, hybrid intelligent systems, and related areas of computational intelligence.
The journal covers a broad spectrum of topics, including:
- Theoretical Foundations: Mathematical models, learning algorithms, and theoretical analysis of neural networks and other computational intelligence techniques.
- Hardware Implementations: VLSI implementations, neuromorphic engineering, and specialized hardware for neural computation.
- Applications: Real-world applications of neurocomputing in areas such as pattern recognition, signal processing, control systems, robotics, image processing, data mining, financial modeling, and bioinformatics.
Neurocomputing publishes original research articles, review papers, and special issues dedicated to specific topics within the field. It is considered a leading journal in the area of computational intelligence and aims to provide a platform for researchers and practitioners to disseminate their latest findings and advancements. The journal is indexed in major databases, including Scopus and Web of Science.