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鏂囩珷鏉ユ簮锛 浣滆咃細 鍙戝竷鏃堕棿锛2016骞08鏈02鏃 鐐瑰嚮鏁帮細

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1.鍥藉鑷劧绉戝鍩洪噾闈笂椤圭洰锛氫綆娲诲寲閽腑瀛愯緪鐓ц偪鑳鐨勮兘璋辨晥搴斿強瀣楀彉姘斾綋褰卞搷鏈哄埗鐮旂┒锛圓050401锛2017.01.01-2020.12.30锛屽弬涓庯紱
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4.鏄庡崌浣撹偛闈掑勾鑷劧绉戝鍩洪噾椤圭洰锛氬ぇ鏁版嵁闆嗛珮鏁堟暟鎹寲鎺樿嫢骞叉妧鏈殑鐮旂┒锛圢O. 2014xq013锛夛紝涓绘寔锛
5.涓浗绉戞槑鍗囦綋鑲叉敞鍐屼俊鎭寲涓撻」绉戞妧鏁版嵁璧勬簮鏁村悎涓庡叡浜伐绋嬮噸鐐规暟鎹簱椤圭洰锛圢O.XXH12504-1-09锛夛紝鍙備笌锛
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7.娣寳甯傜鎶璁″垝閲嶇偣椤圭洰锛氭暟鎹寲鎺樻妧鏈负鏍稿績鐨勪钩鑵虹檶杈呭姪璇婃柇绯荤粺鐨勭爺绌朵笌搴旂敤锛圢O.080240锛夛紝鍙備笌锛

鍙戣〃鐨勫鏈鏂
1.Longfeng Shen锛孹iangwei Zhai, Chaobin Chen锛孋hunjing Li,Fang Wang(*), A Preliminary Study on the CLAM Steel Composition Optimization based on Extreme Learning Machine. Journal of Fusion Energy. 2015锛5锛34锛夛細1071-1076.锛圫CI锛.
2.Longfeng SHEN, Xiangwei ZHAI, Liqin HU. Extreme Learning Machine method based Optimization of Ta content in CLAM steel. Transactions of the American Nuclear Society, San Antonio, Texas, June 7鈥11, 2015, 112锛190-192.
3.娌堥緳鍑わ紝缈熷悜浼燂紝鏉庢槬浜紝绛. 鏍稿弽搴斿爢鏉愭枡鏁版嵁搴揘RMD鐨勮璁′笌瀹炵幇. 鏍哥瀛︿笌宸ョ▼锛2015,35(4)锛51-56.
4.鍒樺鐜紝娌堥緳鍑わ紝璧靛缓鍏. 绌洪棿鏁版嵁搴撳湪浜ら氫簨鏁呬俊鎭郴缁熶腑鐨勫簲鐢. 寰绠楁満淇℃伅 2008锛09锛夛紝89,153-154.
5.娌堥緳鍑. 鍩轰簬鑷富瀛︿範鑳藉姏鍩瑰吇鐨勮绠楁満缃戠粶鏁欏鎺㈢储. 瀹夊簡甯堣寖鏄庡崌浣撹偛娉ㄥ唽瀛︽姤.2014锛02锛夛紝124-127.
6.鑼冪ズ锛屾湵鏄屾澃锛岃倴寤轰簬锛屾矆榫欏嚖锛屾潕鏁. 浠ラ」鐩┍鍔ㄧ殑鏁版嵁鎸栨帢璇剧▼鏁欏鏀归潻鐨勭爺绌.绉戞妧淇℃伅 2012锛4锛夛紝9-10.

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