²é¿´: 2077  |  »Ø¸´: 1

lavender_12

гæ (ÕýʽдÊÖ)

[½»Á÷] ÇóÖú£ºmatlab¸ß˹ÄâºÏºó£¬ÈçºÎÅжÏÄâºÏµÄÊÇ·ñºÃ£¿ ÒÑÓÐ1È˲ÎÓë

matlab¸ß˹ÄâºÏºó£¬ÈçºÎÅжÏÄâºÏµÄÊÇ·ñºÃ£¿
General model Gauss5:
       f(x) =
              a1*exp(-((x-b1)/c1)^2) + a2*exp(-((x-b2)/c2)^2) +
              a3*exp(-((x-b3)/c3)^2) + a4*exp(-((x-b4)/c4)^2) +
              a5*exp(-((x-b5)/c5)^2)
Coefficients (with 95% confidence bounds):
       a1 =       831.4
       b1 =       5.171
       c1 =    0.001535
       a2 =       278.6  (-3077, 3635)
       b2 =       5.368  (4.305, 6.431)
       c2 =      0.3409  (-3.68, 4.361)
       a3 =       175.8  (-4117, 4469)
       b3 =        4.96  (1.849, 8.071)
       c3 =      0.3325  (-1.836, 2.501)
       a4 =       155.4  (-712.9, 1024)
       b4 =       4.591  (3.309, 5.872)
       c4 =      0.3791  (-0.2027, 0.9609)
       a5 =       170.3  (125.7, 214.8)
       b5 =       4.084  (3.994, 4.175)
       c5 =      0.4751  (0.441, 0.5092)

Goodness of fit:
  SSE: 697.2
  R-square: 0.9998
  Adjusted R-square: 0.9998
  RMSE: 1.13

1,£¬a1,b1,c1ºóÃæÃ»ÓÐÀ¨ºÅ£¨À¨ºÅÓ¦¸ÃÊÇÖÃÐÅÇø¼ä°É£¿£©ËµÃ÷ºÃ»¹ÊDz»ºÃ£¿
2£¬goodness of fitÀïÃæ4¸ö²ÎÊýÈçºÎÅжÏÕâ¸öÄâºÏÊÇ·ñºÃ£¿ÊÇ·ñ¿ÉÓã¿

[ Last edited by dbb627 on 2012-5-10 at 20:28 ]
»Ø¸´´ËÂ¥

» ²ÂÄãϲ»¶

» ±¾Ö÷ÌâÏà¹Ø¼ÛÖµÌùÍÆ¼ö£¬¶ÔÄúͬÑùÓаïÖú:

ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû

dbb627

ÈÙÓþ°æÖ÷ (ÖøÃûдÊÖ)

¡ï
Сľ³æ: ½ð±Ò+0.5, ¸ø¸öºì°ü£¬Ð»Ð»»ØÌû
Goodness of fit Êʺ϶È
SSE ÄâºÏÎó²î
RMSE root mean square error ¾ù·½¸ùÎó²î
R square³ÆÎª·½³ÌµÄÈ·¶¨ÏµÊý£¬0~1Ö®¼ä£¬Ô½½Ó½ü1£¬±íÃ÷·½³ÌµÄ±äÁ¿¶ÔyµÄ½âÊÍÄÜÁ¦Ô½Ç¿¡£
RµÄÅж¨Ö»ÊÇÒ»¸ö·½Ã棬»¹ÒªÄãµÄÄâºÏÊý¾ÝºÍʵ¼ÊÊý¾ÝÆ«À룬Äã¿ÉÒÔ»­Í¼¿´¿´¡£
The more you learn, the more you know, the more you know, and the more you forget. The more you forget, the less you know. So why bother to learn.
2Â¥2012-05-10 19:59:09
ÒÑÔÄ   »Ø¸´´ËÂ¥   ¹Ø×¢TA ¸øTA·¢ÏûÏ¢ ËÍTAºì»¨ TAµÄ»ØÌû
Ïà¹Ø°æ¿éÌø×ª ÎÒÒª¶©ÔÄÂ¥Ö÷ lavender_12 µÄÖ÷Ìâ¸üÐÂ
×î¾ßÈËÆøÈÈÌûÍÆ¼ö [²é¿´È«²¿] ×÷Õß »Ø/¿´ ×îºó·¢±í
[¿¼ÑÐ] ²ÄÁÏ080500µ÷¼ÁÇóÊÕÁô +7 Ò»¿Åmeteor 2026-03-13 7/350 2026-03-20 17:47 by ÎÞи¿É»÷111
[¿¼ÑÐ] ¹¤¿Æ²ÄÁÏ085601 279Çóµ÷¼Á +7 À§ÓÚÐdz¿ 2026-03-17 9/450 2026-03-20 17:38 by ÎÞи¿É»÷111
[¿¼²©] ÕÐÊÕ²©Ê¿1-2ÈË +3 QGZDSYS 2026-03-18 3/150 2026-03-20 11:58 by ßÉßÉßÉßɽÐ
[¿¼ÑÐ] 085410È˹¤ÖÇÄÜר˶317Çóµ÷¼Á£¨0854¶¼¿ÉÒÔ£© +4 xbxudjdn 2026-03-18 4/200 2026-03-20 09:07 by ²»168
[¿¼ÑÐ] Ò»Ö¾Ô¸ËÕÖÝ´óѧ²ÄÁÏÇóµ÷¼Á£¬×Ü·Ö315£¨Ó¢Ò»£© +3 sbdksD 2026-03-19 3/150 2026-03-19 23:21 by fmesaito
[¿¼ÑÐ] 0703»¯Ñ§µ÷¼Á +10 ÄÝÄÝninicgb 2026-03-15 14/700 2026-03-19 22:59 by ѧԱ8dgXkO
[¿¼ÑÐ] 307Çóµ÷¼Á +9 ÀäóÏ123 2026-03-17 9/450 2026-03-19 22:44 by ѧԱ8dgXkO
[¿¼ÑÐ] Ò»Ö¾Ô¸±±¾©»¯¹¤´óѧ0703»¯Ñ§318·Ö£¬ÓпÆÑо­Àú£¬Çóµ÷¼Á +3 һƿ±½¼×Ëá 2026-03-14 3/150 2026-03-19 15:17 by ¾¡Ë´Ò¢1
[¿¼ÑÐ] ¡¾Í¬¼ÃÈí¼þ¡¿Èí¼þ£¨085405£©¿¼ÑÐÇóµ÷¼Á +3 2026eternal 2026-03-18 3/150 2026-03-18 19:09 by ²«»÷518
[¿¼ÑÐ] 295Çóµ÷¼Á +3 Ò»Ö¾Ô¸¾©Çø211 2026-03-18 5/250 2026-03-18 17:03 by zhaoqian0518
[¿¼ÑÐ] 302Çóµ÷¼Á +10 ºôºôºô¡£¡£¡£¡£ 2026-03-17 10/500 2026-03-18 12:45 by Linda Hu
[¿¼ÑÐ] 312Çóµ÷¼Á +8 İå·Ï£ 2026-03-16 9/450 2026-03-18 12:39 by Linda Hu
[¿¼ÑÐ] 0703»¯Ñ§336·ÖÇóµ÷¼Á +6 zbzihdhd 2026-03-15 7/350 2026-03-18 09:53 by zhukairuo
[¿¼ÑÐ] 268Çóµ÷¼Á +8 Ò»¶¨ÓÐѧÉÏ- 2026-03-14 9/450 2026-03-17 17:47 by laoshidan
[¿¼ÑÐ] 290Çóµ÷¼Á +3 p asserby. 2026-03-15 4/200 2026-03-17 16:35 by wangkm
[¿¼ÑÐ] Ò»Ö¾Ô¸ËÕÖÝ´óѧ²ÄÁϹ¤³Ì£¨085601£©×¨Ë¶ÓпÆÑо­ÀúÈýÏî¹ú½±Á½¸öʵÓÃÐÍרÀûÒ»ÏîÊ¡¼¶Á¢Ïî +6 ´ó»ðɽС»ðɽ 2026-03-16 8/400 2026-03-17 15:05 by ÎÞи¿É»÷111
[¿¼ÑÐ] 326Çóµ÷¼Á +4 ŵ±´¶û»¯Ñ§½±êéê 2026-03-15 7/350 2026-03-16 17:11 by ŵ±´¶û»¯Ñ§½±êéê
[¿¼ÑÐ] ÖпÆÔº²ÄÁÏ273Çóµ÷¼Á +4 yzydy 2026-03-15 4/200 2026-03-16 15:59 by Gaodh_82
[¿¼ÑÐ] 288Çóµ÷¼Á +4 Ææµã0314 2026-03-14 4/200 2026-03-14 23:04 by JourneyLucky
[¿¼ÑÐ] 297Ò»Ö¾Ô¸ÉϽ»085600Çóµ÷¼Á +5 Ö¸¼â°ËǧÀï 2026-03-14 5/250 2026-03-14 17:26 by a²»Ò×
ÐÅÏ¢Ìáʾ
ÇëÌî´¦ÀíÒâ¼û