Journal Information
Impact Factor:
Call For Papers
Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered.

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 on advances in hardware and software development environments for neurocomputing, including, but not restricted to, simulation software environments, emulation hardware architectures, models of concurrent computation, neurocomputers, and neurochips (digital, analog, optical, and biodevices).

Neurocomputing reports on applications in different fields, including, but not restricted to, signal processing, speech processing, image processing, computer vision, control, robotics, optimization, scheduling, resource allocation and financial forecasting.

Neurocomputing publishes reviews of literature about neurocomputing and affine fields.

Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars.

Neurocomputing reports on functionality/availability of software, on comparative assessments, and on discussions of neurocomputing software issues.

Now also including: Neurocomputing Letters - for the rapid publication of special short communications.
Last updated by Xu Hang in 2023-02-12
Special Issues
Special Issue on Neural Networks for Game-Theoretic Intelligent Decision Making
Submission Date: 2023-11-30

In intelligent decision making, a decision maker must decide on what actions to execute in order to achieve goals in an environment. A decision maker (or an agent) can be artificial intelligence (AI) or a human. In recent years, significant improvements in neural networks and machine learning have spurred the usage of AI in many real-world decision-making problems, such as autonomous driving, gaming, and border testing against pandemics. The outcomes of these problems can depend on the decisions of a single agent, or the joint decisions of two or more agents. The former is traditional single-agent decision making, while the latter is the increasingly popular multi-agent decision-making setting. Game theory provides a mathematical framework to model strategic interactions among multiple agents. The modern study of multi-agent decision making, thereby, often combines game theory, machine learning and neural networks. Neural networks empower decision making with efficient representation learning. On the other hand, game theory lays theoretical underpinnings and sheds light on the outcomes of multi-agent decision making. The goal of this special issue is to promote collaboration and the cross-fertilization of ideas between researchers working from different aspects of game theory, intelligent decision making, machine learning and neural networks. We welcome both original theory- and application-driven contributions to this field, and we particularly encourage work in machine learning and neural networks for multi-agent decision making.
Last updated by Dou Sun in 2023-07-16
Related Journals
CCFFull NameImpact FactorPublisherISSN
cThe Journal of Supercomputing2.474Springer0920-8542
cNatural Language Engineering0.432Cambridge University Press1351-3249
bComputer Supported Cooperative Work1.825Springer0925-9724
International Journal of ComputingResearch Institute of Intelligent Computer Systems1727-6209
bNeural Computation1.884MIT Press0899-7667
aIEEE Transactions on Services Computing5.823IEEE1939-1374
Central European Journal of Computer Science Springer1896-1533
Memetic Computing5.900Springer1865-9284
International Journal on Soft Computing AIRCC2229-7103
cJournal of Grid Computing3.986Springer1570-7873
Full NameImpact FactorPublisher
The Journal of Supercomputing2.474Springer
Natural Language Engineering0.432Cambridge University Press
Computer Supported Cooperative Work1.825Springer
International Journal of ComputingResearch Institute of Intelligent Computer Systems
Neural Computation1.884MIT Press
IEEE Transactions on Services Computing5.823IEEE
Central European Journal of Computer Science Springer
Memetic Computing5.900Springer
International Journal on Soft Computing AIRCC
Journal of Grid Computing3.986Springer
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
baa2CGOInternational Symposium on Code Generation and Optimization2023-09-012023-10-272024-03-02
COITInternational Conference on Computing and Information Technology2023-02-112023-02-182023-02-25
cab1SCCInternational Conference on Services Computing2022-03-012022-04-152022-07-10
ba2ICACInternational Conference on Autonomic Computing2019-02-222019-04-082019-06-16
Feedback ComputingInternational Workshop on Feedback Computing 2013-04-262013-06-25
cb2Hot InterconnectsSymposium on High-Performance Interconnects2022-05-062022-06-202022-08-17
CIMSimInternational Conference on Computational Intelligence, Modelling and Simulation2018-08-15 2018-09-18
ICCBNInternational Conference on Communications and Broadband Networking2021-09-012021-09-252022-02-25
ICDMECInternational Conference on Disaster Management and E-Commerce2022-04-092022-04-102022-05-13
ca1ISCASInternational Symposium on Circuits and Systems2023-10-152024-01-152024-05-19