ÄÜÅÙÃ÷ »ó¼¼º¸±â
°øÁ¤ÀΰøÁö´É


°øÁ¤ÀΰøÁö´É

°øÁ¤ÀΰøÁö´É

<°í¹ÎÀç.±èÁø±¹.»óº´ÀÎ.¼­¿µ¿õ.À̼ºÃ¶> Àú | ¾ÆÁø

Ãâ°£ÀÏ
2021-03-09
ÆÄÀÏÆ÷¸Ë
ePub
¿ë·®
9 M
Áö¿ø±â±â
PC½º¸¶Æ®ÆùÅÂºí¸´PC
ÇöȲ
½Åû °Ç¼ö : 0 °Ç
°£·« ½Åû ¸Þ¼¼Áö
ÄÜÅÙÃ÷ ¼Ò°³
¸ñÂ÷
ÇÑÁÙ¼­Æò

ÄÜÅÙÃ÷ ¼Ò°³

ÀÌ Ã¥ÀÇ ¸ñÀûÀº ´Ù¾çÇÑ °øÁ¤ ÀΰøÁö´É ºÐ¾ß¿¡ ´ëÇÑ ÀÌ·ÐÀû °³³ä°ú ÀϹÝÀûÀÎ °è»ê¼öÇà ¹æ¹ýÀ» Á¦°øÇÏ´Â °ÍÀÌ´Ù.
Fuzzy ½Ã½ºÅÛ¿¡¼­´Â Fuzzy ³í¸®, Fuzzy °ü°è¿Í Fuzzy ¼ö, ±×¸®°í Fuzzy Ã߷аú Fuzzy ¾Ë°í¸®µëÀ» ¼Ò°³ÇÏ°í ÀÖÀ¸¸ç Àΰø½Å°æ¸Á¿¡¼­´Â ¿ªÀüÆÄ ½Å°æ¸Á(Back Propagation), ¿¬»ó/°æÀï/RBF ½Å°æ¸Á, ±×¸®°í ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ IdentificationÀ» ´Ù·ç°í ÀÖ´Ù.

¸ñÂ÷

Á¦ 1 Àå ÀΰøÁö´É(artificial intelligence) ÀÔ¹® 1

1.1 ÀΰøÁö´ÉÀÇ ÀÇ¹Ì 1
1.2 ÀΰøÁö´ÉÀÇ ¿ª»ç 2
1.3 °øÁ¤ ÀΰøÁö´ÉÀÇ ÁÖÁ¦ 13

Á¦ 2 Àå Fuzzy ³í¸® 17

2.1 ±âº» Á¤ÀÇ 17
2.2 ÁýÁßÈ­¿Í ÆØâ 28
2.3 È®Àå¿ø¸® 33
2.4 ¥á-¼öÁØÁýÇÕ 39

Á¦ 3 Àå Fuzzy °ü°è¿Í Fuzzy ¼ö 43

3.1 Fuzzy °ü°è 43
3.2 Fuzzy °ü°èÀÇ ÇÕ¼º 46
3.3 Fuzzy ¼ö 52
3.4 ÀϹÝÀûÀÎ membership ÇÔ¼ö 70

Á¦ 4 Àå Fuzzy Ã߷аú Fuzzy ¾Ë°í¸®µë 83

4.1 ³í¸® 83
4.2 ±Ù»çÃß·Ð 86
4.3 ¾ð¾îº¯¼öÀÇ Ç¥Çö 92
4.4 Fuzzy Á¦¾î ½Ã½ºÅÛÀÇ ±¸¼º 96
4.5 Fuzzy ±ÔÄ¢ÀÇ Ç¥ÁØÇüÅ 98
4.6 Fuzzy °ü°è½Ä 101
4.7 Ç¥ÁØ Additive ¸ðµ¨ 104
4.8 Fuzzy ±ÔÄ¢ÀÇ ½ÇÇà 108
4.9 Fuzzy³í¸® Á¦¾î 117

Á¦ 5 Àå ½Å°æ¸Á: Introduction 137

5.1 Àΰø´º·± 137
5.2 ´ÜÃþ ½Å°æ¸Á 141
5.3 ´ÙÃþ ½Å°æ¸Á 157

Á¦ 6 Àå ¿ªÀüÆÄ(Back Propagation) ½Å°æ¸Á 163

6.1 Àü´ÞÇÔ¼öÀÇ ¹ÌºÐ 163
6.2 ¿ªÀüÆÄ ¾Ë°í¸®µë 164
6.3 BP network ÈÆ·Ã ¹× ÈƷðá°ú¸¦ ÀÌ¿ëÇÑ Ãâ·ÂÀÇ ºñ±³ 192
6.4 ¿ªÀüÆÄ ¹®ÀÚÀÎ½Ä 197

Á¦ 7 Àå ¿¬»ó/°æÀï/RBF ½Å°æ¸Á 205

7.1 Instar ÇнÀ 205
7.2 Outstar ÇнÀ 213
7.3 °æÀïÇнÀ 219
7.4 È®·üÀû ½Å°æ¸Á(Probabilistic Neural Network, PNN) 232
7.5 Radial Basis Function(RBF) Network 237
7.6 Generalized Regression Neural Network(GRNN) 249

Á¦ 8 Àå ½Å°æ¸ÁÀ» ÀÌ¿ëÇÑ Identification 257

8.1 Dynamic Network 257
8.2 ÀûÀÀ ½Åȣó¸® 262
8.3 Adaline(ÀûÀÀ ¼±Çü¿ä¼Ò)¸¦ ÀÌ¿ëÇÑ Identification 269
8.4 Neuro-Fuzzy identifier 282

Á¦ 9 Àå ¼±Çü °áÁ¤Ç¥¸é ÇÔ¼ö¿Í ÆÛ¼ÁÆ®·Ð ÇнÀ 291

9.1 °áÁ¤ÇÔ¼ö 291
9.2 °£´ÜÇÑ ÇнÀ ¾Ë°í¸®µë 295
9.3 ÆÛ¼ÁÆ®·Ð ÇнÀ 300
9.4 Duality 309

Á¦ 10 Àå Ãִ븶Áø ºÐ·ùÀÚ 313

10.1 ÃÖÀûÈ­ ¹®Á¦ 313
10.2 ÃÖ´ë ¸¶Áø 314
10.3 ¸¶ÁøÀÇ ÃÖÀûÈ­ 316
10.4 Quadratic Programming 320
10.5 Lagrangian Dual 322
10.6 Dual ÃÖ´ë ¸¶Áø ÃÖÀûÈ­ 325

Á¦ 11 Àå ÁöÁöº¤Å͸¦ ÀÌ¿ëÇÑ Regression (SVR) 343

11.1 ºñ¼±Çü SVM 343
11.2 sensitive ¼Õ½ÇÇÔ¼ö(loss ÇÔ¼ö) 361
11.3 Least-Squares SVM(LSSVM) 375

Á¦ 12 Àå Genetic ¾Ë°í¸®µë 387

12.1 µðÀÚÀÎ º¯¼öÀÇ Ç¥Çö 388
12.2 ¸ñÀûÇÔ¼ö¿Í Á¦¾àÁ¶°ÇÀÇ Ç¥Çö 390
12.3 ¼¼´ëÀÇ »ý¼º 391
12.4 ÃÖÀûÈ­ ¹®Á¦ÀÇ Ç®ÀÌ 393

Á¦ 13 Àå SA, PSO, ACO ¾Ë°í¸®µë 409

13.1 Simulated Annealing (SA) ¾Ë°í¸®µë 409
13.2 Particle Swarm ¾Ë°í¸®µë 415
13.3 Ant Colony ¾Ë°í¸®µë 426

»öÀÎ 443