累积量测序列的区间云变换及识别.pdfVIP

绗?0 鍗 绗? 鏈 鎺 鍒 涓 鍐 绛 2015 骞 8 鏈 Vol. 30 No. 8 Control and Decision Aug. 2015 鏂囩珷缂栧彿: 1001-0920 (2015) 08-1345-11 DOI: 10.13195/j.kzyjc.2014.0748 绱Н閲忔祴搴忓垪鐨勫尯闂翠簯鍙樻崲鍙婅瘑鍒 鍏 娆? 瀛欒吹涓? 琛 鏅? 閮 寮 (娴峰啗鑸┖宸ョ▼瀛﹂櫌鐢靛瓙淇℃伅宸ョ▼绯伙紝灞变笢鐑熷彴264001) 鎽 瑕? 鐩爣澶氬睘鎬у簭鍒楃被鏁版嵁涓嶈兘鐩存帴涓庢暟鎹簱涓殑鍖洪棿绫绘暟鎹瀺鍚堣瘑鍒? 瀵规, 鎻愬嚭涓€绉嶅熀浜庝簯鍙樻崲鐨勫簭鍒?鍖 闂村紓绫绘暟鎹瘑鍒畻娉? 瀵圭洰鏍囧灞炴€у簭鍒楁暟鎹繘琛岄鏁拌绠楀舰鎴愰鐜囧垎甯冨嚱鏁? 骞惰繘琛岃櫄璀︽娴? 瀹炴柦浜戝彉鎹㈠舰鎴愪簯 绨? 鎻愬彇浜戠皣鐗瑰緛, 鍐嶆牴鎹? En 鍑嗗垯褰㈡垚浜戞淮鍖洪棿, 瀹炵幇浜嗗簭鍒楀瀷鏁版嵁鐨勫尯闂村寲琛ㄧず. 杩涗竴姝? 鍒╃敤涓€绉嶅尯闂村灞炴€ 璇嗗埆鍒ゅ畾鍑嗗垯杩涜璇嗗埆鍒ゅ畾, 寰楀埌璇嗗埆缁撴灉, 瑙ｅ喅浜嗗簭鍒?鍖洪棿寮傜被鏁版嵁鐨勮瘑鍒棶棰? 浠跨湡瀹為獙缁撴灉楠岃瘉浜嗚绠楁硶瀵 搴忓垪-鍖洪棿寮傜被鏁版嵁璇嗗埆鐨勬湁鏁堟€? 鍏抽敭璇岤 鐩爣璇嗗埆锛涗簯鍙樻崲锛涘簭鍒楁暟鎹紱鍖洪棿鏁 涓浘鍒嗙被鍙耳 TN95 鏂囩尞鏍囧織鐮? A Interval cloud transform and recognition research of accumulative measurement sequence data GUAN Xin, SUN Gui-dong, YI Xiao, GUO Qiang (Department of Electronics and Information Engineering锛孨aval Aeronautical and Astronautical University 锛孻antai 264001锛孋hina 锛嶤orrespondent 锛歋UN Gui-dong锛孍-mail 锛歴dwhsgd@163.com) Abstract: An asynchronous data recognition algorithm for sequence and interval number based on cloud transform is proposed to solve the problem that the multi-attribute sequence data of the target can not be recognized with the interval number in the database directly. This algorithm counts the possible values in the multi-attribute sequence data approximately and forms the frequency distribution function 铿乺stly and then detects the possible values with the threshold. Afterwards, cloud groups are formed with back cloud transform and their the characteristics are extracted, the cloud interval number is got to represent the sequence data according to the 3En r