Computational Intelligence

计算智能

• 批准号: CRC-2014-00130
• 负责人: Pedrycz, Witold
• 金额: $ 14.57万
• 依托单位: University of Alberta
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=661822
• 关键词: Computational; Intelligence

Analysis of huge data becomes a challenging open problem, which calls for innovative ways to deal with it efficiently. Granular Computing oriented on processing information granules arises here as a highly promising alternative. Recognizing data abstraction and processing as an ever-present need in perception and modeling complex systems, we establish a coherent and comprehensive conceptual platform of Granular Computing. The proposed investigation of novel and promising granular models will develop, conceptualize and design algorithms for constructing intelligent systems to benefit environmental, agricultural, energy, and human health sectors with expected ancillary advantages to machine learning, data mining, and high-performance computing.**

海量数据的分析成为一个具有挑战性的开放问题，这就需要创新的方法来有效地处理它。面向处理信息粒的粒计算在这里作为一种非常有前途的替代方案应运而生。认识到数据抽象和处理是感知和建模复杂系统的一个无处不在的需求，我们建立了一个连贯的、全面的粒计算概念平台。拟议的对新的和有前途的颗粒模型的调查将开发、概念化和设计算法，以构建智能系统，使环境、农业、能源和人类健康部门受益，并预期机器学习、数据挖掘和高性能计算具有辅助优势。