{"id":38037,"date":"2020-10-14T00:00:21","date_gmt":"2020-10-13T16:00:21","guid":{"rendered":"https:\/\/case.ntu.edu.tw\/blog\/?p=38037"},"modified":"2021-12-27T11:28:08","modified_gmt":"2021-12-27T03:28:08","slug":"%e6%b7%b1%e5%ba%a6%e5%ad%b8%e7%bf%92%e8%88%87%e5%a4%a9%e6%96%87%e5%bd%b1%e5%83%8f-%e4%b8%80%e7%aa%ba%e6%98%9f%e7%b3%bb%e7%9a%84%e5%bd%a2%e6%85%8b%e8%88%87%e7%89%a9%e7%90%86","status":"publish","type":"post","link":"https:\/\/case.ntu.edu.tw\/blog\/?p=38037","title":{"rendered":"\u6df1\u5ea6\u5b78\u7fd2\u8207\u5929\u6587\u5f71\u50cf \u4e00\u7aba\u661f\u7cfb\u7684\u5f62\u614b\u8207\u7269\u7406"},"content":{"rendered":"
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\"\u6df1\u5ea6\u5b78\u7fd2\u8207\u5929\u6587\u5f71\u50cf<\/div>\n<\/div>\n
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\u64b0\u6587 \/ Balboa Crenshaw \uff08\u73fe\u8077\u70ba\u6578\u64da\u79d1\u5b78\u5bb6\uff09<\/strong><\/p>\n

\u661f\u7cfb\u7684\u5f62\u614b<\/strong><\/p>\n

\u4e5f\u8a31\u5c0d\u6a5f\u5668\u5b78\u7fd2\u6709\u521d\u6b65\u8a8d\u8b58\u7684\u4f60\uff0c\u77e5\u9053\u6df1\u5ea6\u5b78\u7fd2\u5e38\u5e38\u88ab\u7528\u65bc\u5716\u50cf\u5206\u8fa8\uff0c\u8209\u51e1\u5982\u4eba\u81c9\u3001\u7269\u4ef6\uff0c\u751a\u81f3\u662f\u6307\u7d0b\u7b49\u5206\u6790\u3002\u5728\u6700\u8fd1\u5e7e\u5e74\uff0c\u5929\u6587\u5b78\u5bb6\u4e5f\u9806\u6c34\u63a8\u821f\uff0c\u5c07\u5176\u61c9\u7528\u5728\u5929\u6587\u5f71\u50cf\u7684\u5206\u6790\u8207\u5206\u985e\u3002\u7576\u4e2d\u6700\u8457\u540d\u3001\u6700\u5ee3\u6cdb\u7684\u61c9\u7528\uff0c\u83ab\u904e\u65bc\u661f\u7cfb\u5f62\u614b\uff08Morphology\uff09 \u7684\u5206\u985e\uff01<\/p>\n

\u4e5f\u8a31\u4f60\u5c0d\u661f\u7cfb\u7684\u300c\u5f62\u614b\u300d\u9019\u500b\u8a5e\u611f\u5230\u964c\u751f\uff0c\u4f46\u662f\u9019\u9580\u5b78\u554f\u5176\u5be6\u5c31\u662f\u7814\u7a76\u661f\u7cfb\u7684\u300c\u5f62\u72c0\u300d\uff08shape\uff09\u3002\u5c31\u50cf\u4eba\u6709\u9ad8\u77ee\u80d6\u7626\uff0c\u661f\u7cfb\u4e5f\u6709\u5404\u5f0f\u5404\u6a23\u7684\u5f62\u614b\uff0c\u5c31\u50cf\u5716\u4e00\u9019\u5f35\u300c\u54c8\u4f2f\u97f3\u53c9\u5716\u300d\uff08Hubble tuning-fork diagram\uff09\uff1a<\/p>\n

\"\"<\/p>\n

\u5716\u4e00\u3001\u54c8\u4f2f\u97f3\u53c9\u661f\u7cfb\u5206\u985e\u5716\uff08\u5716\u7247\u4f86\u6e90\uff1aNASA & ESA\uff09<\/p>\n<\/div>\n

\u4e0a\u5716\u6700\u5de6\u908a\uff0c\u4ee3\u8868\u5f62\u72c0\u504f\u5411\u5713\u8207\u6a62\u5713\u7684\u300c\u6a62\u5713\u661f\u7cfb\u300d\uff08Ellipticals\uff09\uff1b\u53f3\u908a\u5247\u662f\u5f62\u72c0\u8207\u6211\u5011\u9280\u6cb3\u7cfb\u76f8\u8fd1\u7684\u300c\u87ba\u65cb\u661f\u7cfb\u300d\uff08Spirals\uff09\uff1b\u800c\u87ba\u65cb\u661f\u7cfb\u53c8\u53ef\u4ee5\u5206\u70ba\u4e00\u822c\u7684\u87ba\u65cb\u661f\u7cfb\uff0c\u8207\u4e2d\u5fc3\u6709\u68d2\u72c0\u7cfb\u7d71\u7684\u300c\u68d2\u65cb\u661f\u7cfb\u300d\uff08Bar-spiral\uff09\u3002\u628a\u9019\u4e09\u500b\u5927\u5206\u652f\u756b\u5728\u4e00\u8d77\uff0c\u5c31\u50cf\u4e00\u500b\u97f3\u53c9\u4e00\u822c\uff0c\u6240\u4ee5\u6709\u4e86\u300c\u97f3\u53c9\u5716\u300d\u9019\u500b\u7a31\u865f\u3002<\/p>\n

\u9019\u500b\u97f3\u53c9\u5716\u661f\u7cfb\u5206\u985e\u6cd5\uff0c\u662f\u7531\u5929\u6587\u5b78\u5bb6Edwin Hubble\u6240\u63d0\u51fa\uff0c\u5df2\u6709\u767e\u5e74\u6b77\u53f2\u3002\u96a8\u8457\u79d1\u5b78\u77e5\u8b58\u7684\u9032\u5c55\uff0c\u66f4\u8907\u96dc\u8207\u66f4\u7b26\u5408\u7269\u7406\u4e8b\u5be6\u7684\u661f\u7cfb\u5f62\u614b\u5206\u985e\u4e5f\u76f8\u7e7c\u88ab\u63d0\u51fa\uff0c\u4e0d\u904e\u57fa\u65bc\u7bc7\u5e45\uff0c\u9019\u88e1\u5c31\u66ab\u6642\u4e0d\u53bb\u8a0e\u8ad6\u66f4\u591a\u7d30\u7bc0\u3002\u7136\u800c\u8981\u6ce8\u610f\u7684\u662f\uff1a\u4e00\u500b\u4e16\u7d00\u4ee5\u524d\uff0c\u5728\u6a5f\u5668\u5b78\u7fd2\u8207\u5927\u6578\u64da\u5206\u6790\u8a95\u751f\u4e4b\u524d\uff0c\u751a\u81f3\u9023\u96fb\u8166\u90fd\u9084\u6c92\u51fa\u73fe\u7684\u6642\u5019\uff0c\u5929\u6587\u5b78\u5bb6\uff0c\u5c24\u5176\u662f\u90a3\u4e9b\u7814\u7a76\u661f\u7cfb\u5929\u6587\u7269\u7406\u7684\u4eba\uff0c\u5c31\u5df2\u7d93\u8457\u624b\u5c0d\u661f\u7cfb\u9032\u884c\u5206\u6790\u8207\u5206\u985e\uff08classification\uff09\uff0c\u4e26\u4e14\u5b8c\u5168\u9760\u8457\u4ed6\u5011\u7684\u8089\u773c\uff01<\/p>\n

20\u4e16\u7d00\u4e2d\u671f\u4e4b\u5f8c\uff0c\u96a8\u8457\u5927\u578b\u5929\u6587\u671b\u9060\u93e1\u7684\u8a95\u751f\uff0c\u661f\u7cfb\u5f71\u50cf\u4e5f\u5927\u91cf\u7522\u751f\uff0c\u661f\u7cfb\u5f62\u614b\u4e4b\u9593\u7684\u754c\u7dda\u4e5f\u8d8a\u4f86\u8d8a\u6a21\u7cca\uff0c\u5929\u6587\u5b78\u5bb6\u610f\u8b58\u5230\u4e5f\u8a31\u9700\u8981\u96fb\u8166\u7684\u8f14\u52a9\u3002\u7d42\u65bc\uff0c\u5927\u6578\u64da\u5206\u6790\u3001\u6df1\u5ea6\u5b78\u7fd2\u8207\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u5e6b\u4e86\u661f\u7cfb\u5929\u6587\u5b78\u5bb6\u4e00\u500b\u5927\u5fd9\u30022015\u5e74\uff0c\u4e00\u7fa4\u5929\u6587\u5b78\u5bb6\u5c07\u6df1\u5ea6\u5b78\u7fd2\u6280\u8853\u904b\u7528\u5728\u661f\u7cfb\u5f62\u614b\u7684\u5206\u985e\u4e0a\u3002\u7d04\u4e94\u842c\u500b\u661f\u7cfb\uff0c\u5716\u4e8c\u53ea\u662f\u4ed6\u5011\u6240\u5f97\u5230\u7684\u4e00\u90e8\u5206\u7d50\u679c\u3002\u7531\u4e0a\u800c\u4e0b\uff0c\u6bcf\u4e00\u884c\u5206\u5225\u662f\uff1a\u6a62\u5713\u3001\u87ba\u65cb\u3001\u6a62\u5713\u8207\u87ba\u65cb\u6df7\u5408\u5f62\u3001\u4e0d\u898f\u5247\u87ba\u65cb\u8207\u4e0d\u898f\u5247\u5f62\u661f\u7cfb\uff0c\u5404\u6709\u4e0d\u540c\u7684\u5f62\u614b\uff0c\u4f60\u5206\u8fa8\u7684\u51fa\u4f86\u55ce\uff1f<\/p>\n

\"\"<\/p>\n

\u5716\u4e8c\u3001\u904b\u7528\u6df1\u5ea6\u5b78\u7fd2\u9032\u884c\u661f\u7cfb\u5f62\u614b\u5206\u985e\u7684\u7d50\u679c\uff08\u5716\u7247\u4f86\u6e90\uff1aM. Huertas-Company et al., 2015.\uff09<\/p>\n<\/div>\n

\u503c\u5f97\u4e00\u63d0\u7684\u662f\uff0c\u9019\u4e9b\u661f\u7cfb\u5f71\u50cf\u6b63\u662f\u7531\u5927\u540d\u9f0e\u9f0e\u7684\u54c8\u4f2f\u592a\u7a7a\u671b\u9060\u93e1\uff08Hubble Space Telescope\uff09\u6240\u62cd\u651d\uff0c\u5c31\u5728\u540c\u4e00\u500bHubble\u63d0\u51fa\u97f3\u53c9\u5206\u985e\u5716\u7684\u4e00\u500b\u4e16\u7d00\u4e4b\u5f8c\u3002<\/p>\n

\u80cc\u5f8c\u7684\u7269\u7406<\/strong><\/p>\n

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\u8981\u70ba\u661f\u7cfb\u7684\u7269\u7406\u9032\u884c\u5206\u985e\uff0c\u6700\u76f4\u89ba\u7684\u65b9\u5f0f\u5c31\u662f\u4ee5\u8a72\u661f\u7cfb\u6240\u8655\u7684\u6f14\u5316\u968e\u6bb5\u70ba\u4f9d\u64da\u3002\u7c21\u55ae\u4f86\u8aaa\uff0c\u6211\u5011\u53ef\u4ee5\u4f9d\u64da\u661f\u7cfb\u7684\u5f71\u50cf\uff0c\u4f86\u5206\u8fa8\u8a72\u661f\u7cfb\u76ee\u524d\u6b63\u7d93\u6b77\u5176\u751f\u547d\u4e2d\u7684\u54ea\u4e00\u500b\u300c\u968e\u6bb5\u300d\u3002\u7576\u7136\uff0c\u95dc\u65bc\u661f\u7cfb\u7684\u6f14\u5316\uff0c\u5404\u985e\u5b78\u8aaa\u76ee\u524d\u53ef\u8aaa\u662f\u767e\u5bb6\u722d\u9cf4\uff1b\u9019\u88e1\u8981\u4ecb\u7d39\u7684\uff0c\u662f\u5728\u661f\u7cfb\u751f\u6210\u7684\u904e\u7a0b\u4e2d\uff0c\u4e00\u6bb5\u7a31\u4f5c\u300c\u85cd\u584a\u300d\uff08Blue nugget\uff0cBN\uff09 \u7684\u968e\u6bb5\u3002\u5728\u9019\u500b\u968e\u6bb5\uff0c\u661f\u7cfb\u7684\u4e2d\u5fc3\u6709\u5927\u91cf\u6046\u661f\u751f\u6210\uff0c\u6eab\u5ea6\u76f8\u7576\u9ad8\uff0c\u984f\u8272\u4e5f\u56e0\u6b64\u504f\u85cd\u3002<\/p>\n

\u61c2\u4e86\u95dc\u65bc\u300c\u85cd\u584a\u300d\u7684\u7269\u7406\uff0c\u5c31\u53ef\u4ee5\u958b\u59cb\u8a2d\u8a08\u6a5f\u5668\u5b78\u7fd2\u7684\u6a21\u578b\u4e86\u3002\u5929\u6587\u5b78\u5bb6\u6a21\u64ec\u51fa35\u500b\u865b\u64ec\u661f\u7cfb\uff0c\u4e26\u5c07\u6bcf\u500b\u661f\u7cfb\u4e0d\u540c\u6642\u671f\u3001\u4e0d\u540c\u89c0\u6e2c\u89d2\u5ea6\u7684\u5f71\u50cf\u96c6\u5408\u8d77\u4f86\uff0c\u5171\u7d04\u4e94\u842c\u5f35\u300c\u4eba\u5de5\u661f\u7cfb\u5f71\u50cf\u300d\u3002\u56e0\u70ba\u662f\u4eba\u5de5\u6a21\u64ec\u51fa\u7684\u5f71\u50cf\uff0c\u6240\u4ee5\u6bcf\u4e00\u500b\u90fd\u6709\u76f8\u5c0d\u61c9\u7684\u300c\u6a19\u8a18\u300d\uff08label\uff09\uff0c\u5206\u5225\u662f\uff1a\u300c\u524d\u85cd\u584a\u968e\u6bb5\u300d\uff08Pre-BN\uff09\u3001\u300c\u85cd\u584a\u968e\u6bb5\u300d\uff08BN\uff09 \u8207\u300c\u5f8c\u85cd\u584a\u968e\u6bb5\u300d\uff08Post-BN\uff09\uff08\u5982\u5716\u4e09\uff09\u3002\u9019\u4e94\u842c\u5f35\u5e36\u6709\u6a19\u8a18\u7684\u5f71\u50cf\uff0c\u4fbf\u662f\u5f8c\u7e8c\u6a5f\u5668\u5b78\u7fd2\u6642\u6240\u4f7f\u7528\u7684\u300c\u8a13\u7df4\u96c6\u300d\uff08Training set\uff09\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u4e09\u3001\u8a13\u7df4\u96c6\u4e2d\u768412\u5f35\u4eba\u5de5\u661f\u7cfb\u5f71\u50cf\u3002\u4e0a\u3001\u4e2d\u3001\u4e0b\u884c\u5206\u5225\u70ba\u6a19\u8a18\u300c\u524d\u85cd\u584a\u968e\u6bb5\u300d\uff08Pre-BN\uff09\u3001\u300c\u85cd\u584a\u968e\u6bb5\u300d\uff08BN\uff09 \u8207\u300c\u5f8c\u85cd\u584a\u968e\u6bb5\u300d\uff08Post-BN\uff09\u4e09\u500b\u968e\u6bb5\uff08\u5206\u985e\uff09\u3002\u4f60\u770b\u5f97\u51fa\u4f86\u9019\u4e9b\u90fd\u662f\u4eba\u5de5\u6a21\u64ec\u7522\u751f\u7684\u661f\u7cfb\u55ce\uff1f\u4f60\u5206\u8fa8\u5f97\u51fa\u4e09\u7a2e\u5206\u985e\u7684\u5f71\u50cf\u6709\u4ec0\u9ebc\u4e0d\u540c\u55ce\uff1f\uff08\u5716\u7247\u4f86\u6e90\uff1aM. Huertas-Company et al., 2018.\uff09<\/p>\n<\/div>\n

\u5929\u6587\u5b78\u5bb6\u6240\u4f7f\u7528\u7684\u6a21\u578b\u662f\u300c\u5377\u7a4d\u795e\u7d93\u7db2\u8def\u300d\uff08Convolutional neural network\uff0cCNN\uff09\uff0c\u9019\u662f\u4e00\u7a2e\u5c6c\u65bc\u6df1\u5ea6\u5b78\u7fd2\u7684\u4eba\u5de5\u795e\u7d93\u7db2\u8def\u3002\u5982\u5716\u56db\u6240\u793a\uff0cCNN\u7684\u8f38\u5165\u7aef\u662f\u661f\u7cfb\u7684\u5f71\u50cf\uff0c\u5f71\u50cf\u8cc7\u8a0a\u63a5\u8457\u5728\u4e09\u5c64\u7684\u300c\u5377\u7a4d\u5c64\u300d\uff08Convolutional layers\uff09\u4e2d\u9032\u884c\u904b\u7b97\uff0c\u6700\u5f8c\u5f97\u5230\u6700\u4f73\u7684\u5206\u985e\u3002<\/p>\n

\"\"<\/p>\n

\u5716\u56db\u3001\u7528\u4ee5\u9032\u884c\u661f\u7cfb\u5f71\u50cf\u7269\u7406\u5206\u985e\u7684CNN\u6a21\u578b\u3002\uff08\u5716\u7247\u4f86\u6e90\uff1aM. Huertas-Company et al., 2018.\uff09<\/p>\n<\/div>\n

\u5c31\u7b97\u8089\u773c\u5be6\u5728\u96e3\u4ee5\u5206\u8fa8\u5716\u4e09\u7684\u5f71\u50cf\u4e4b\u9593\u5230\u5e95\u6709\u54ea\u4e9b\u4e0d\u540c\uff0c\u4f46\u537b\u96e3\u9003\u96fb\u773c\u2500\u2500CNN\u6a21\u578b\u7684\u6b63\u78ba\u7387\u9ad8\u905480%\u3002<\/p>\n

\u5728\u5929\u6587\u5b78\u7684\u6311\u6230<\/strong><\/p>\n

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\u53c3\u8003\u8cc7\u6599<\/strong><\/p>\n

    \n
  1. \u201cThe Hubble tuning fork \u2013 classification of galaxies<\/a>\u201c,\u00a0spacetelescope.org<\/em>, 2020.<\/li>\n
  2. M. Huertas-Company et al., \u201cCatalog of Visual-like Morphologies in the 5 CANDELS Fields using Deep Learning\u201d,\u00a0The Astrophysical Journal Supplement Series<\/em>, vol. 221, no. 1, p. 8, 2015.<\/li>\n
  3. M. Huertas-Company et al., \u201cDeep Learning Identifies High-z Galaxies in a Central Blue Nugget Phase in a Characteristic Mass Range\u201d,\u00a0The Astrophysical Journal<\/em>, vol. 858, no. 2, p. 114, 2018<\/li>\n<\/ol>\n

    (\u672c\u6587\u7531\u6559\u80b2\u90e8\u88dc\u52a9\u300cAI\u5831\u5831\u2500AI\u79d1\u666e\u63a8\u5ee3\u8a08\u756b\u300d\u57f7\u884c\u5718\u968a\u7de8\u8b6f)<\/p>\n<\/div>\n

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