www.gusucode.com > 控制理论、现代控制理论、系统辨识、最优控制、智能控制等的软实验内容 > code/神经网络样本/sin带缺口样本330点.txt

    1
.5
1
1000
0.0005
1.2
0 1.57
4 0 0 
0 0
 .0047527875945537 .0095054320421927
 .0095055751891074 .0190100052184181
 .0142583627836611 .028512860740312
 .0190111503782148 .0380131399747092
 .0237639379727685 .0475099845212259
 .0285167255673222 .0570025362898203
 .0332695131618759 .0664899375783259
 .0380223007564297 .0759713311499491
 .0427750883509834 .0854458603107253
 .0475278759455371 .0949126689869257
 .0522806635400908 .104370901802408
 .0570334511346445 .113819704155904
 .0617862387291982 .123258222298239
 .0665390263237519 .132685603409468
 .0712918139183056 .142100995675938
 .0760446015128593 .151503548367251
 .080797389107413  .160892411913132
 .0855501767019667 .170266737980193
 .0903029642965204 .179625679548584
 .0950557518910741 .188968390988525
 .0998085394856278 .198294028136713
 .104561327080182 .207601748372601
 .109314114674735 .216890710694525
 .114066902269289 .226160075795701
 .118819689863843 .235409006140055
 .123572477458396 .244636666037903
 .12832526505295  .253842221721458
 .133078052647504 .263024841420164
 .137830840242057 .272183695435853
 .142583627836611 .281317956217713
 .147336415431165 .290426798437058
 .152089203025719 .299509399061907
 .156841990620272 .308564937431342
 .161594778214826 .317592595329664
 .16634756580938 .326591557060323
 .171100353403934 .335561009519618
 .175853140998487 .344500142270166
 .180605928593041 .353408147614131
 .185358716187595 .362284220666201
 .190111503782148 .371127559426317
 .194864291376702 .379937364852135
 .199617078971256 .388712840931224
 .20436986656581  .397453194752993
 .209122654160363 .40615763658033
 .213875441754917 .414825379920963
 .218628229349471 .42345564159852
 .223381016944024 .432047641823298
 .228133804538578 .440600604262716
 .232886592133132 .449113756111464
 .237639379727686 .457586328161329
 .242392167322239 .466017554870696
 .247144954916793 .474406674433721
 .251897742511347 .482752928849162
 .256650530105901 .491055563988871
 .261403317700454 .49931382966593
 .266156105295008 .507526979702438
 .270908892889562 .515694271996928
 .275661680484115 .523814968591424
 .280414468078669 .531888335738116
 .285167255673223 .539913643965662
 .289920043267777 .547890168145095
 .29467283086233  .555817187555343
 .299425618456884 .563693985948355
 .304178406051438 .571519851613811
 .308931193645991 .579294077443433
 .313683981240545 .587015960994875
 .318436768835099 .594684804555191
 .323189556429653 .60229991520388
 .327942344024206 .609860604875491
 .33269513161876  .617366190421797
 .337447919213314 .624815993673521
 .342200706807867 .632209341501607
 .346953494402421 .639545565878049
 .351706281996975 .646824003936242
 .356459069591529 .654043998030884
 .361211857186082 .661204895797391
 .365964644780636 .668306050210846
 .37071743237519  .675346819644457
 .375470219969744 .682326567927536
 .380223007564297 .689244664402977
 .384975795158851 .696100483984241
 .389728582753405 .702893407211833
 .394481370347958 .70962282030928
 .399234157942512 .71628811523858
 .403986945537066 .722888689755149
 .40873973313162  .729423947462232
 .413492520726173 .735893297864793
 .418245308320727 .74229615642287
 .422998095915281 .74863194460439
 .427750883509834 .754900089937441
 .432503671104388 .761100026062002
 .437256458698942 .767231192781111
 .442009246293496 .773293036111487
 .446762033888049 .779285008333583
 .451514821482603 .785206568041075
 .456267609077157 .791057180189782
 .46102039667171 .796836316146008
 .465773184266264 .80254345373431
 .470525971860818 .808178077284678
 .475278759455372 .813739677679125
 .480031547049925 .819227752397696
 .484784334644479 .824641805563866
 .489537122239033 .829981347989349
 .494289909833587 .835245897218297
 .49904269742814  .840434977570894
 .503795485022694 .845548120186336
 .508548272617248 .850584863065194
 .513301060211801 .855544751111157
 .518053847806355 .860427336172156
 .522806635400909 .865232177080854
 .527559422995462 .8
 .532312210590016 .75
 .53706499818457  .7
 .541817785779123 .65
 .546570573373677 .6
 .551323360968231 .55
 .556076148562784 .5
 .560828936157338 .45
 .565581723751892 .4
 .570334511346445 .35
 .575087298940999 .3
 .579840086535553 .25
 .584592874130106 .2
 .58934566172466 .25
 .594098449319214 .3
 .598851236913767 .35
 .603604024508321 .4
 .608356812102875 .45
 .613109599697428 .5
 .617862387291982 .55
 .622615174886536 .6
 .627367962481089 .65
 .632120750075643 .7
 .636873537670197 .75
 .64162632526475  .8
 .646379112859304 .85
 .655884688048411 .9
 .660637475642965 .95
 .665390263237518 .971334218953253
 .670143050832072 .973549948411538
 .674895838426626 .975677712492294
 .679648626021179 .977717318940803
 .684401413615733 .979668583467856
 .689154201210287 .981531329766402
 .69390698880484  .983305389527477
 .698659776399394 .984990602455416
 .703412563993948 .986586816282336
 .708165351588501 .988093886781889
 .712918139183055 .9895116777823
 .717670926777609 .990840061178666
 .722423714372162 .992078916944536
 .727176501966716 .993228133142749
 .73192928956127  .994287605935557
 .736682077155823 .995257239593997
 .741434864750377 .996136946506552
 .746187652344931 .996926647187055
 .750940439939484 .997626270281883
 .755693227534038 .998235752576395
 .760446015128592 .998755039000647
 .765198802723145 .999184082634371
 .769951590317699 .999522844711208
 .774704377912253 .999771294622217
 .779457165506806 .999929409918636
 .78420995310136  .999997176313913
 .788962740695914 .999974587684998
 .793715528290467 .999861646072892
 .798468315885021 .999658361682466
 .803221103479575 .999364752881537
 .807973891074128 .998980846199211
 .812726678668682 .998506676323484
 .817479466263236 .997942286098107
 .822232253857789 .997287726518716
 .826985041452343 .996543056728226
 .831737829046897 .995708344011482
 .83649061664145  .994783663789187
 .841243404236004 .993769099611079
 .845996191830558 .992664743148388
 .850748979425111 .991470694185551
 .855501767019665 .990187060611195
 .860254554614219 .988813958408391
 .865007342208772 .987351511644172
 .869760129803326 .985799852458324
 .87451291739788  .984159121051445
 .879265704992433 .98242946567228
 .884018492586987 .980611042604325
 .888771280181541 .978704016151703
 .893524067776094 .976708558624323
 .898276855370648 .974624850322306
 .903029642965202 .972453079519699
 .907782430559755 .970193442447458
 .912535218154309 .967846143275722
 .917288005748863 .965411394095365
 .922040793343416 .962889414898828
 .92679358093797  .960280433560246
 .931546368532524 .957584685814856
 .936299156127077 .9548024152377
 .941051943721631 .951933873221612
 .945804731316185 .948979318954507
 .950557518910738 .945939019395962
 .955310306505292 .942813249253092
 .960063094099846 .939602290955731
 .964815881694399 .936306434630915
 .969568669288953 .932925978076661
 .974321456883507 .929461226735065
 .97907424447806  .925912493664703
 .983827032072614 .922280099512344
 .988579819667168 .918564372483974
 .993332607261721 .914765648315148
 .998085394856275 .910884270240648
 1.00283818245083 .906920588963476
 1.00759097004538 .90287496262316
 1.01234375763994 .898747756763398
 1.01709654523449 .894539344299028
 1.02184933282904 .890250105482334
 1.0266021204236  .885880427868688
 1.03135490801815 .88143070628153
 1.0361076956127  .876901342776699
 1.04086048320726 .872292746606097
 1.04561327080181 .867605334180721
 1.05036605839637 .862839529033028
 1.05511884599092 .857995761778675
 1.05987163358547 .853074470077603
 1.06462442118003 .848076098594501
 1.06937720877458 .843001098958618
 1.07412999636913 .837849929722966
 1.07888278396369 .832623056322878
 1.08363557155824 .827320951033962
 1.08838835915279 .821944092929421
 1.09314114674735 .816492967836772
 1.0978939343419  .810968068293944
 1.10264672193646 .80536989350478
 1.10739950953101 .799698949293926
 1.11215229712556 .79395574806113
 1.11690508472012 .788140808734945
 1.12165787231467 .782254656725836
 1.12641065990922 .776297823878713
 1.13116344750378 .770270848424872
 1.13591623509833 .764174274933364
 1.14066902269289 .758008654261789
 1.14542181028744 .751774543506525
 1.15017459788199 .745472505952391
 1.15492738547655 .739103111021751
 1.1596801730711  .732666934223061
 1.16443296066565 .726164557098876
 1.16918574826021 .719596567173297
 1.17393853585476 .712963557898887
 1.17869132344931 .706266128603052
 1.18344411104387 .699504884433888
 1.18819689863842 .692680436305499
 1.19294968623298 .685793400842803
 1.19770247382753 .678844400325813
 1.20245526142208 .671834062633411
 1.20720804901664 .664763021186618
 1.21196083661119 .657631914891359
 1.21671362420574 .650441388080734
 1.2214664118003  .643192090456804
 1.22621919939485 .635884677031879
 1.2309719869894  .62851980806934
 1.23572477458396 .62109814902398
 1.24047756217851 .613620370481875
 1.24523034977307 .606087148099793
 1.24998313736762 .598499162544148
 1.25473592496217 .590857099429494
 1.25948871255673 .583161649256578
 1.26424150015128 .575413507349951
 1.26899428774583 .567613373795137
 1.27374707534039 .559761953375384
 1.27849986293494 .551859955507977
 1.2832526505295  .54390809418014
 1.28800543812405 .535907087884525
 1.2927582257186  .52785765955429
 1.29751101331316 .519760536497781
 1.30226380090771 .511616450332813
 1.30701658850226 .503426136920566
 1.31176937609682 .495190336299097
 1.31652216369137 .486909792616471
 1.32127495128592 .478585254063526
 1.32602773888048 .470217472806267
 1.33078052647503 .461807204917909
 1.33553331406959 .453355210310554
 1.34028610166414 .444862252666537
 1.34503888925869 .436329099369418
 1.34979167685325 .427756521434647
 1.3545444644478  .419145293439897
 1.35929725204235 .410496193455079
 1.36405003963691 .401810002972039
 1.36880282723146 .393087506833943
 1.37355561482601 .384329493164367
 1.37830840242057 .375536753296083
 1.38306119001512 .366710081699556
 1.38781397760968 .357850275911165
 1.39256676520423 .348958136461137
 1.39731955279878 .340034466801214
 1.40207234039334 .331080073232063
 1.40682512798789 .322095764830416
 1.41157791558244 .313082353375966
 1.416330703177   .304040653278025
 1.42108349077155 .294971481501929
 1.4258362783661  .285875657495229
 1.43058906596066 .276754003113643
 1.43534185355521 .267607342546801
 1.44009464114977 .258436502243772
 1.44484742874432 .249242310838395
 1.44960021633887 .240025599074401
 1.45435300393343 .230787199730357
 1.45910579152798 .221527947544417
 1.46385857912253 .212248679138897
 1.46861136671709 .202950232944686
 1.47336415431164 .193633449125488
 1.4781169419062  .184299169501908
 1.48286972950075 .174948237475386
 1.4876225170953  .165581497952
 1.49237530468986 .156199797266115
 1.49712809228441 .146803983103917
 1.50188087987896 .13739490442682
 1.50663366747352 .127973411394754
 1.51138645506807 .118540355289355
 1.51613924266262 .109096588437043
 1.52089203025718 .0996429641320086
 1.52564481785173 .090180336559117
 1.53039760544629 .0807095607167258
 1.53515039304084 .0712314923394315
 1.53990318063539 .06174698782075
 1.54465596822995 .0522569041357363
 1.5494087558245  .0427620987635527
 1.55416154341905 .0332634296099905
 1.55891433101361 .0237617549299546
 1.56366711860816 .0142579332499146
 1.56841990620271 .00475282329033325