저널 정보

Neurocomputing

저널 웹사이트를 보려면 로그인해 주세요
무료 가입으로 공식 사이트 조회, 마감 추적, 이메일 리마인더를 이용할 수 있습니다.
로그인 회원가입
이 데이터를 API로 가져오기
검색과 순위 목록은 자격 증명이 전혀 필요 없습니다. 이 페이지의 상세 데이터에는 무료 API 키가 필요합니다. 자세한 내용은 개발자 안내 페이지를 참고하세요.

영향력 지수:
6.5
출판사:
Elsevier
ISSN:
0925-2312
조회:
161677
팔로우:
199

논문 모집

Neurocomputing is an academic journal published by Elsevier. (ISSN 0925-2312, impact factor 6.5, CCF C).

Neurocomputing publishes articles describing recent fundamental contributions in the field of neurocomputing. Neurocomputing theory, practice and applications are the essential topics being covered. NEW! Neurocomputing's Software Track allows you to expose your complete Software work to the community through a novel Publication format: the Original Software Publication 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 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. Types of publications: Neurocomputing publishes reviews of literature about neurocomputing and affine fields. Neurocomputing reports on meetings, including, but not restricted to, conferences, workshops and seminars. NEW! The Neurocomputing Software Track Neurocomputing Software Track publishes a new format, the Original Software Publication (OSP) to disseminate exiting and useful software in the areas 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. We encourage high-quality original software submissions which contain non-trivial contributions in the above areas related to the implementations of algorithms, toolboxes, and real systems. The software must adhere to a recognized legal license, such as OSI approved licenses. Importantly, the software will be a full peer reviewed publication that is able to capture your software updates once they are released. To fully acknowledge the author's/developers work your software will be fully citable as an Original Software Publication, archived and indexed and available as a complete online "body of work" for other researchers and practitioners to discover.
최종 수정: Dou Sun ()

Special Issues

Special Issue on Selected papers from the 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026) 투고 마감일: 2026-09-30 This special issue of Neurocomputing features original articles that are extended versions of the best papers presented at the 34th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN 2026). Since its inception in 1993, ESANN has established itself as a leading European conference in Artificial Intelligence and related fields. It is a selective, single-track conference that brings together more than 100 scientists from around the world each year. The 34th edition of ESANN was held both online and in the city centre of Bruges, Belgium, from April 22 to 24, 2026. Bruges, one of the most beautiful medieval city centres in Europe, is recognized as a UNESCO World Heritage Site. The conference was chaired by Prof. Michel Verleysen (UCLouvain) and featured, alongside its regular sessions, several special sessions organized by renowned scientists in their respective fields. Guest editors: Prof. Luca Oneto (Executive Guest Editor) University of Genoa, Genoa, Italy Email: [email protected] Areas of Expertise: Machine Learning, Statistical Learning Theory, Trustworthy AI Assoc. Prof. Nicolò Navarin University of Padua, Padua, Italy Email: [email protected] Areas of Expertise: Machine Learning on structured data, Kernel methods, Artificial Neural Networks Prof. Kerstin Bunte University of Groningen, Groningen, The Netherlands Email: [email protected] Areas of Expertise: Machine Learning, Artificial Intelligence, XAI Manuscript submission information: This special issue is invitation-only. Keywords: (Artificial Neural Network) OR (Artificial Neural Networks) AND (Artificial Intelligence) AND (Machine Learning) AND (Deep Learning) AND (Generative AI) https://www.sciencedirect.com/special-issue/334012/selected-papers-from-the-34th-european-symposium-on-artificial-neural-networks-computational-intelligence-and-machine-learning-esann-2026
최종 수정: Dou Sun ()
Special Issue on Neural Dynamics in Intelligent Computing and Applications 투고 마감일: 2026-10-30 In recent decades, neural dynamics has emerged as a fundamental mechanism for understanding and enhancing intelligent computing, offering powerful tools for modeling, prediction, optimization, and adaptive decision-making. With the rapid growth of computational resources and the increasing complexity of real-world tasks, neural dynamics has found wide-ranging applications in domains such as autonomous systems, healthcare, financial technology, robotics, and smart manufacturing. By capturing the temporal evolution of neural states and interactions, neural dynamics provides adaptive, data-driven solutions with strong nonlinear modeling and representation capabilities, enabling intelligent systems to achieve improved accuracy, robustness, and generalization in dynamic and uncertain environments. Neural dynamics emphasizes the time-varying processes, feedback mechanisms, and emergent behaviors of neural systems, thereby offering a novel perspective on learning, adaptation, and control. The integration of neural dynamics with control theory, optimization, reinforcement learning, and neuromorphic computing has opened up new research frontiers, such as interpretable dynamic modeling, safe and robust decision-making under uncertainty, and real-time adaptive control in rapidly changing environments. Given the significant progress and growing body of research in this area, this Special Issue now specifically invites survey/review articles that comprehensively summarize and critically evaluate recent advances in neural dynamics for intelligent computing. Survey/review papers should provide insightful syntheses of existing work, identify key challenges and emerging trends, and propose future research directions. The aim of this Special Issue is to gather high-quality survey/review articles that survey the latest developments in neural dynamics, with particular emphasis on theoretical foundations, innovative modeling approaches, algorithmic design, and applications in emerging technologies. We encourage contributions that explore the integration of neural dynamics with control systems, robotics, natural language processing, and real-time decision-making in complex environments from a survey/review perspective. Guest editors: Prof. Long Jin (Executive Guest Editor) Lanzhou University, Lanzhou, China Email: [email protected] Areas of Expertise: dynamics, neural networks, robotics, and optimization Prof. Shuai Li University of Oulu, Oulu, Finland Email: [email protected] Areas of Expertise: dynamics, neural networks, robotics, and intelligent control Special issue information: Topics for this call for survey/review papers include but not restricted to: Theoretical foundations of neural dynamics in intelligent computing (robustness, convergence, generalization, interpretability) Novel neural dynamics architectures and learning paradigms for intelligent computing Neural dynamics-based adaptive control, predictive control, and robust optimization Neural dynamics for multi-agent systems, distributed intelligence, and collaborative decision-making Neural dynamics for robotics: motion planning, autonomous navigation, and humanrobot interaction Neural dynamics in medical diagnosis, bio-signal analysis, and healthcare decision support Neural dynamics in financial forecasting, recommender system, risk management, and smart manufacturing Integration of neural dynamics with reinforcement learning, evolutionary algorithms, and signal processing techniques Real-time learning and deployment of neural dynamics in time-varying, uncertain, or safety-critical environments Emerging applications of neural dynamics-based intelligent computing in braincomputer interfaces, autonomous driving, soft robotics, and industrial intelligence Manuscript submission information: Important Dates: Submission Open Date: December 20, 2025 Submission Deadline: October 30, 2026 Final Acceptance Deadline: December 31, 2026 Prospective authors should follow standard author instructions for Neurocomputing and submit their manuscripts online at Editorial Manager system. Authors must select “VSI: Neural Dynamics" when they reach the "Article Type" step. Please refer to the Guide for Authors to prepare your manuscript. For any further information, the authors may contact the Guest Editors. Keywords: Neural dynamics, intelligent computing https://www.sciencedirect.com/special-issue/328893/neural-dynamics-in-intelligent-computing-and-applications
최종 수정: Dou Sun ()

이 항목을 본 사람들이 함께 본 항목

CCF정식 명칭영향력 지수출판사ISSN
BInformation Sciences6.0Elsevier0020-0255
BPattern Recognition7.6Elsevier0031-3203
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems6.1Elsevier0167-739X
CDiscover ComputingSpringer2948-2992
BInformation Processing & Management6.9Elsevier0306-4573
BInformation Systems3.4Elsevier0306-4379
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
BInformation and Software Technology4.3Elsevier0950-5849
CMultimedia Tools and ApplicationsSpringer1380-7501

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Engineering11.6Elsevier2095-8099
CInformation & Management8.2Elsevier0378-7206
Mechatronics3.1Elsevier0957-4158
BInformation Sciences6.0Elsevier0020-0255
Materials Science and Engineering: B4.6Elsevier0921-5107
Materials Science and Engineering: CElsevier0928-4931
Sustainable Computing5.7Elsevier2210-5379
Development EngineeringElsevier2352-7285
Network SecurityElsevier1353-4858
International Journal of Information Management27.0Elsevier0268-4012

관련 학회

CCFICORE약칭정식 명칭투고 마감통보일개최일
AA*AAAIAAAI Conference on Artificial Intelligence2026-07-212026-11-302027-02-16
BAWSDMInternational Conference on Web Search and Data Mining2026-08-172026-11-022027-02-15
BICASSPInternational Conference on Acoustics, Speech and Signal Processing2026-09-162027-01-132027-05-16
CBPRICAIPacific Rim International Conference on Artificial Intelligence2026-06-272026-08-082026-11-17
CDAIInternational Conference on Distributed Artificial Intelligence2026-07-272026-09-162026-11-29
CBIEEE BigDataIEEE International Conference on Big Data2026-08-212026-10-242026-12-14
BBIBMInternational Conference on Bioinformatics & Biomedicine2026-07-052026-09-252026-12-01
CBMMMInternational Conference on MultiMedia Modeling2026-08-162026-10-162027-01-05
CCAPSECAsia-Pacific Software Engineering Conference2026-07-202026-09-142026-12-07
AA*ICSEInternational Conference on Software Engineering2026-06-232026-10-202027-04-25

댓글 0

아직 댓글이 없습니다.

댓글을 작성하려면 로그인해 주세요