结合遗传算法的LVQ神经网络在声学底质分类中的应用-Core.PDFVIP

50 1 Vol. 50, No. 1 2007 1 CHINESE JOURNAL OF GEOPHYSICS Jan. , 2007 , , . LVQ . , 2007, 50( 1) : 313~ 319 TangQ H, Liu B H, Chen Y Q, et al. Appli ation of LVQ neural network ombined with the geneti algorithm in a ousti seafloor lassifi ation. Chinese J . Geophys . ( in Chinese) , 2007, 50( 1) : 313~ 319 LVQ 1, 2, 3 2 3 2 2 唐秋华 , 刘保华 , 陈永奇, 周兴华 , 丁继胜 1 , 266003 2 , 266061 3 , ( Learning Ve tor Quantization, LVQ) . LVQ , . ( Geneti Algorithms, GA) , GA LVQ , , . , LVQ , . , , , 0001- 5733( 2007) 01- 0313- 07 P631 2005- 12- 10,2006- 09- 29 Application of LVQneural network combined with the genetic algorithmin acoustic seafloor classification 1, 2, 3 2 3 2 2 TANG Qiu_Hua , LIU Bao_Hua , CHEN Yong_Qi , ZHOU Xing_Hua , DING Ji_Sheng 1 Marine Geology College, Ocean University of China, Qingdao 266003, China 2 First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China 3 Dep artment of and Surveying and Geo_Inf ormatics, TheHong Kong Polytechnic University , Hong Kong , China Abstract The Learning Ve tor Quantization (LVQ) neural network approa h has beenwidely used in a ousti seafloor lassifi ation. However, one of the major weak points of LVQ is its sensitivity to the initialization, affe ting the seafloor lassifi ation a ura y.