The ezperiment of RBF network used in active noise controlling in tracked vehicle cabins
Aiming at noise suppression within military vehicle cabins, active noise control is studied. An adaptive noise control project based on RBF network is proposed,and an algorithm FX-RBF is given. Experimental study showed that as a local and whole conjunction neural network RBF network can be trained very quickly, and can overcome shortcomings of local minimum pole in BP networks. Experimental results showed that the average effect of cancelling noise is up to 10dB in the frequency ranging from 100～400Hz.
active noise control RBF network FX-RBF algorithm
Sun Guofa Xue Guangyue Li Chuanguang
School of information science and technology, Beijing Institute of Technology, Beijing, China,090499
国际会议
第八届国际测试技术研讨会(8th International Symposium on Test and Measurement)
重庆
英文
505-508
2009-08-01（万方平台首次上网日期，不代表论文的发表时间）