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Neural Processing Letters (NPL)

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영향력 지수:
2.8
출판사:
Springer
ISSN:
1370-4621
조회:
35121
팔로우:
20
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논문 모집

Neural Processing Letters (NPL) is an academic journal published by Springer. (ISSN 1370-4621, impact factor 2.8, CCF C).

Aims and scope Neural Processing Letters is an international journal that promotes fast exchange of the current state-of-the art contributions among the artificial neural network community of researchers and users. The Journal publishes technical articles on various aspects of artificial neural networks and machine learning systems. Coverage includes novel architectures, supervised and unsupervised learning algorithms, deep nets, learning theory, network dynamics, self-organization, optimization, biological neural network modelling, and hybrid neural/fuzzy logic/genetic systems. The Journal publishes articles on methodological innovations for the applications of the afore mentioned systems in classification, pattern recognition, signal processing, image and video processing, robotics, control, autonomous vehicles, financial forecasting, big data analytics, and other multidisciplinary applications.
최종 수정: Dou Sun ()

관련 저널

CCF정식 명칭영향력 지수출판사ISSN
Materials Letters2.7Elsevier0167-577X
Systems & Control Letters2.5Elsevier0167-6911
IEEE Communications Letters4.4IEEE1089-7798
BNeural Networks7.2Elsevier0893-6080
Operations Research Letters0.9Elsevier0167-6377
IEEE Computer Architecture Letters1.4IEEE1556-6056
Optical Memory and Neural Networks0.8Springer1060-992X
IEEE Letters of the Computer SocietyIEEE2573-9689
CKnowledge-Based Systems7.2Elsevier0950-7051
CFuture Generation Computer Systems5.9Elsevier0167-739X

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