NEURAL COMPUTING & APPLICATIONS
期刊基本信息
期刊名称:NEURAL COMPUTING & APPLICATIONS
出版国家或地区:UNITED STATES
是否OA:No
期刊ISSN:0941-0643
期刊官方网站:http://www.editorialmanager.com/nca/
期刊投稿网址:http://www.editorialmanager.com/nca/
通讯方式:SPRINGER, 233 SPRING ST, NEW YORK , USA, NY, 10013
涉及的研究方向:工程技术-计算机:人工智能
出版周期:Quarterly
出版年份:1993
期刊数据表:
最新中科院JCR分区
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大类(学科)
小类(学科)
JCR学科排名
工程技术
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE(计算机科学,人工智能) 2区
15/132
|
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最新的影响因子
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4.774 | |||||||
最新公布的期刊年发文量 |
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总被引频次 | 8160 | |||||||
特征因子 | 0.012330 |
NEURAL COMPUTING & APPLICATIONS英文简介:
Neural Computing & Applications is an international journal which publishes original research and other information in the field of practical applications of neural computing and related techniques such as genetic algorithms, fuzzy logic and neuro-fuzzy systems.All items relevant to building practical systems are within its scope, including but not limited to:adaptive computingalgorithmsapplicable neural networks theoryapplied statisticsarchitecturesartificial intelligencebenchmarkscase histories of innovative applicationsfuzzy logicgenetic algorithmshardware implementationshybrid intelligent systemsintelligent agentsintelligent control systemsintelligent diagnosticsintelligent forecastingmachine learningneural networksneuro-fuzzy systemspattern recognitionperformance measuresself-learning systemssoftware simulationssupervised and unsupervised learning methodssystem engineering and integrationFeatured contributions fall into several categories: Original Articles, Review Articles, Book Reviews, and Announcements.The Original Articles will be high-quality contributions, representing new and significant research, developments or applications of practical use and value. They will be reviewed by at least two referees. For all queries relating to papers after submission, please contact the Journal Editorial Office via “contact us” at Editorial Manager.
NEURAL COMPUTING & APPLICATIONS中文简介:
《神经计算与应用》是一本国际期刊,发表了神经计算和相关技术(如遗传算法、模糊逻辑和神经模糊系统)实际应用领域的原始研究和其他信息。与建筑实用系统相关的所有项目均在其范围内,包括但不限于:自适应计算算法应用神经网络理论应用统计学体系结构人工智能基准点创新应用案例模糊逻辑遗传算法硬件实现混合智能系统智能代理智能控制系统智能诊断智能预测机器学习神经网络神经模糊系统模式识别性能指标自学系统软件仿真有监督和无监督的学习方法系统工程与集成特色文章分为几类:原创文章、评论文章、书评和公告。原始文章将是高质量的贡献,代表新的和重要的研究、开发或应用的实际用途和价值。他们将由至少两名裁判员进行评审。对于提交后与论文相关的所有疑问,请通过编辑经理的“联系我们”与期刊编辑部联系。
NEURAL COMPUTING & APPLICATIONS在线问答:
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