SGER: Preliminary Research on Immunity-Based Computational Techniques

SGER：基于免疫的计算技术的初步研究

• 批准号: 0104251
• 负责人: Dipankar Dasgupta
• 金额: $ 8.9万
• 依托单位: University of Memphis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-03-15 至 2002-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0104251&HistoricalAwards=false
• 关键词: SGER; Preliminary; Research; Immunity; Based

The PI will conduct a preliminary investigation of immunity-based computational techniques to pave the way for more complex studies of this subject in the future. The ultimate goal of this research is to develop computational techniques inspired by the natural immune system for solving real-world science and engineering problems. The natural immune system is a distributed novel-pattern recognizer which uses intelligent mechanisms to detect a wide variety of antigens (novel patterns). From the computational point of view the immune system uses learning, memory, and associative retrieval to solve recognition and classification tasks. The immune system is a subject of great research interest, not only in the hope of finding cures for many diseases but also as a means for understanding its powerful information processing capabilities. In the current project the PI will investigate immunological principles, explore the underlying concepts and mechanisms, and take initial steps towards the development of intelligent computational techniques for solving problems in the field of science and engineering.

PI将对基于免疫的计算技术进行初步调查，为未来更复杂的研究铺平道路。 这项研究的最终目标是开发受自然免疫系统启发的计算技术，用于解决现实世界的科学和工程问题。 自然免疫系统是一个分布式的新模式识别器，它使用智能机制来检测各种各样的抗原（新模式）。 从计算的角度来看，免疫系统使用学习，记忆和关联检索来解决识别和分类任务。 免疫系统是一个非常有研究兴趣的课题，不仅希望找到许多疾病的治疗方法，而且还作为理解其强大的信息处理能力的手段。 在目前的项目中，PI将研究免疫学原理，探索基本概念和机制，并采取初步措施，发展智能计算技术，解决科学和工程领域的问题。