摘要
阐述了目前国内外通信信号快速搜索的现状和不足,分析了领域覆盖算法,进而改善覆盖阈值,定义球形领域距离函数,构造前馈神经网络。改进后不仅提高了搜索速度,而且降低了拒识率。给出了算法实现和实验实例,结果表明改进方法是有效实用的。
In this paper, some shortcomings of current methods of quick searching communication signals are presented , the algorithm of neighborhood covering is analysed, then the threshold of neighborhood is changed, the distance function of neighborhood is defined, the neural networks is structured. This improved algorithm not only increases speed of signal search, but also decreases the number of unknown samples. The procedure of algorithm is given, and the results of the experiment show the method is valid.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2003年第1期81-85,共5页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金(No.60175018
60135010)
国家973项目(No.G1998030509)资助项目