摘要
对ＦＰ算法进行了改进．首先对“共同特征位”进行了优化处理，其次对ｘ０样本的选取进行优化，最后，对阈值设计进行优化处理．经过优化后的样本吸引域明显地较为均匀，模拟实验数据也证明了这一点．
FP algorithm is improved in this paper. First, the “common characteristic bit” is optimized, then the selection of x 0 sample is optimized. Finally, the design of threshold is optimized. After these optimizations, the attractive domain of sample appears more even. The solution is proved by the test data.
出处
《软件学报》
EI
CSCD
北大核心
1998年第11期873-875,共3页
Journal of Software
关键词
神经网络
多层前馈网络
FP算法
吸收域
Neural network, multilayered feedforward network, FP algorithm, common characteristic bit, attractive domain.
