INFORMATION SCIENCES SCISCIE

中文简介

信息科学将发表原创、创新和创新的研究成果。少量及时的指导和测量贡献将不时公布。该杂志旨在为研究人员、开发人员、管理人员、战略规划人员、研究生和其他对信息、知识工程和智能系统的最新研究活动感兴趣的人提供服务。读者被认为对信息科学有共同的兴趣，但他们在工程学、数学、统计学、物理学、计算机科学、细胞生物学、分子生物学、管理科学、认知科学、神经生物学、行为科学和生物化学等领域具有不同的背景。该杂志发表高质量的参考文章。它强调理论和实践的平衡覆盖。它充分承认并生动地促进了信息科学学科的广泛发展。主题包括：信息科学基础：信息论、数学语言学、自动机理论、认知科学、定性行为理论、人工智能、计算智能、软计算、符号学、计算生物学和生物信息学。实施和信息技术：智能系统、遗传算法和建模、模糊逻辑和近似推理、人工神经网络、专家和决策支持系统、学习和进化计算、专家和决策支持系统、学习和进化计算、生物特征学、分子纳米计算、自适应和自组织系统系统、数据工程、数据融合、信息和知识、自适应AD监控、离散事件系统、符号/数字和统计技术、感知和模式识别、算法设计、软件设计、计算机系统和体系结构评估和工具、人机界面、计算机通信论网络与文字建模与计算应用：制造、自动化和移动机器人、虚拟现实、图像处理和计算机视觉系统、光子学网络、基因组学和生物信息学、大脑绘图、语言和搜索引擎设计、用户友好的人机界面、数据压缩和文本提取和总结、虚拟现实、金融和经济建模和优化可通过wpedrycz@ualberta.ca联系总编辑witold pedrycz。

投稿网址：http://ees.elsevier.com/ins/

英文简介

Information Sciences will publish original, innovative and creative research results. A smaller number of timely tutorial and surveying contributions will be published from time to time.The journal is designed to serve researchers, developers, managers, strategic planners, graduate students and others interested in state-of-the art research activities in information, knowledge engineering and intelligent systems. Readers are assumed to have a common interest in information science, but with diverse backgrounds in fields such as engineering, mathematics, statistics, physics, computer science, cell biology, molecular biology, management science, cognitive science, neurobiology, behavioural sciences and biochemistry.The journal publishes high-quality, refereed articles. It emphasizes a balanced coverage of both theory and practice. It fully acknowledges and vividly promotes a breadth of the discipline of Informations Sciences.Topics include:Foundations of Information Science:Information Theory, Mathematical Linguistics, Automata Theory, Cognitive Science, Theories of Qualitative Behaviour, Artificial Intelligence, Computational Intelligence, Soft Computing, Semiotics, Computational Biology and Bio-informatics.Implementations and Information Technology:Intelligent Systems, Genetic Algorithms and Modelling, Fuzzy Logic and Approximate Reasoning, Artificial Neural Networks, Expert and Decision Support Systems, Learning and Evolutionary Computing, Expert and Decision Support Systems, Learning and Evolutionary Computing, Biometrics, Moleculoid Nanocomputing, Self-adaptation and Self-organisational Systems, Data Engineering, Data Fusion, Information and Knowledge, Adaptive ad Supervisory Control, Discrete Event Systems, Symbolic / Numeric and Statistical Techniques, Perceptions and Pattern Recognition, Design of Algorithms, Software Design, Computer Systems and Architecture Evaluations and Tools, Human-Computer Interface, Computer Communication Networks and Modelling and Computing with WordsApplications:Manufacturing, Automation and Mobile Robots, Virtual Reality, Image Processing and Computer Vision Systems, Photonics Networks, Genomics and Bioinformatics, Brain Mapping, Language and Search Engine Design, User-friendly Man Machine Interface, Data Compression and Text Abstraction and Summarization, Virtual Reality, Finance and Economics Modelling and OptimisationEditor-in-Chief Witold Pedrycz can be reached at wpedrycz@ualberta.ca.