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不断发展的系统

Evolving Systems
课程网址: http://videolectures.net/ida07_angelov_es/  
主讲教师: Plamen Angelov
开课单位: 兰开斯特大学
开课时间: 2007-10-05
课程语种: 英语
中文简介:
当今重要的研究挑战之一是开发具有更高灵活性和自主性的系统的新理论方法,算法和实现,我们可以说具有更高的智能水平。这些系统必须能够发展其环境结构和知识,并最终发展其智能。为了解决动态变化和演变环境中的建模,控制,预测,分类和数据处理的问题,系统必须能够完全适应其结构并调整其参数,而不是使用预先训练的和固定的结构。也就是说,系统必须能够发展,自我发展,自我组织,自我评估和自我提高。讲座将集中讨论作者在这个新兴领域的最近几年的研究中遇到的问题和结果,以及特定类型的模糊模型的在线识别方法 - 所谓的Takagi Sugeno模糊模型包括一些应用,特别是移动机器人,移动通信,过程建模和控制,在线演进分类智能(推理)传感器。
课程简介: One of the important research challenges today is to develop new theoretical methods, algorithms, and implementations of systems with a higher level of flexibility and autonomy, we can say with higher level of intelligence. These systems have to be able to evolve their structure and knowledge on the environment and ultimately – evolve their intelligence. To address the problems of modelling, control, prediction, classification and data processing in a dynamically changing and evolving environment, a system must be able to fully adapt its structure and adjust its parameters, rather than use a pre-trained and a fixed structure. That is, the system must be able to evolve, to self-develop, to self-organize, to self-evaluate and to self-improve. The talk will concentrate on the problems and results the author encountered during last several years of research in this emerging area as well as on the approach to on-line identification of a particular type of fuzzy models – so called Takagi-Sugeno fuzzy models including some applications, in particular to mobile robots, mobile communications, process modelling and control, on-line evolving classification intelligent (inferential) sensors.
关 键 词: 灵活性; 自主性; 动态变化
课程来源: 视频讲座网
最后编审: 2019-04-27:cwx
阅读次数: 49