欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
针对FSS-LMS算法推理机制不全和算法运算量大的问题,提出了一种新的受ELSE规则支配的模糊LMS算法.ELSE规则的存在使得在任何输入数据条件下都能成功执行推理机制,而且运算量大为减少.与其它模糊LMS算法相比,该算法所建立的模糊规则更加简单和可靠.实验结果表明,该算法不仅具有更少的计算量,而且比其它的模糊LMS算法以及其它传统的LMS算法具有更好的性能.
英文摘要：
In order to overcome the incomplete inference mechanism and great computational complexity in FSSLMS algorithm, a new fuzzy LMS algorithm dominated by ELSE-action is presented. In the presence of an ELSE rule, the inference mechanism can be successfully executed with slight computational complexity in any input data conditions. As compared simpler and more reliable putational complexity but algorithms. with other fuzzy LMS algorithms, the fuzzy rule. Experimental results show proposed also better performances than other fuzzy algorithm is better because it constructs a the proposed algorithm is of not only less com- LMS algorithms and other conventional LMS algorithms.
同期刊论文项目
同项目期刊论文
期刊信息
位置：