闆诲瓙鑸岀敤浜庝笉鍚屽搧鐗岃厫涔虫ǎ鍝佺殑杈ㄥ垾鍗€(q奴)鍒�
鐧�(f膩)甯冩棩鏈燂細2021-12-29 鐎忚娆℃暩(sh霉)锛�1208

闆诲瓙鑸�鐢ㄤ簬涓嶅悓鍝佺墝鑵愪钩妯ｅ搧鐨勮鲸鍒ュ崁(q奴)鍒�

涓€銆佸(sh铆)椹�(y脿n)绨�(ji菐n)杩�

鏈(sh铆)椹�(y脿n)閫氶亷鐢变笂娴蜂繚鍦ｅ(sh铆)妤�(y猫)鐧�(f膩)灞曟湁闄愬叕鍙告彁渚涚殑cTongue闆诲瓙鑸�灏�(du矛)浜�绋�鑵愪钩妯ｅ搧閫�(j矛n)琛屾埃鍛虫娓�(c猫)閼掑垾銆�

浜屻€�Ctongue闆诲瓙鑸�浠嬬垂

1.鍘熺悊

闆诲瓙鑸屾槸涓€绋富瑕佺敱浜や簰鏁忔劅鍌虫劅鍣ㄩ櫍鍒�銆佷俊铏�(h脿o)閲囬泦闆昏矾銆佸熀浜庢ā寮忚瓨(sh铆)鍒ョ殑鏁�(sh霉)鎿�(j霉)铏曠悊鏂规硶绲勬垚鐨勭従(xi脿n)浠ｅ寲瀹氭€у畾閲忓垎鏋愭娓�(c猫)鍎€鍣�銆傞浕瀛愯垖鍩轰簬鎯版€ч噾灞浕妤垫(g貌u)鎴愮┅(w臎n)瀹氱殑鍌虫劅鍣ㄩ櫍鍒�锛岄€氶亷浼忓畨闆诲寲瀛�(xu茅)鑴堟矕鎶€琛�(sh霉)婵€鐧�(f膩)瀵�(sh铆)鐝�(xi脿n)鍘熷壍(chu脿ng)鐨勭祫鍚堣剤娌栭Τ璞瓬鎬濇兂锛岀劧鍚庣稉(j墨ng)浜や簰鎰熸噳(y墨ng)瑙ｆ瀽鎶€琛�(sh霉)渚嗙嵅鍙栨脯(c猫)閲忓皪(du矛)璞＄殑鏁撮珨淇℃伅锛岀珛瓒充簬鏈€鏂扮殑闆诲瓙闆昏矾纭欢鍜岃▓(j矛)绠楁(j墨)鏅鸿兘鍖栫畻娉曡粺浠�锛屽揩閫熴€佸(sh铆)鏅�(sh铆)銆佸湪绶氬(sh铆)鐝�(xi脿n)灏�(du矛)鐢�(ch菐n)鍝佺殑鏁撮珨鐗瑰緛瑭�(p铆ng)鍍�(ji脿)鍙婅嫢骞叉垚鍒嗗畾鎬у畾閲忕殑蹇€熸娓�(c猫)鑸囧垎鏋�銆�

cTongue闆诲瓙鑸屽惈鐢�鎯版€ч噾灞偝鎰熷櫒绲勬垚锛屾€ц兘绌�(w臎n)瀹氾紝閲嶇従(xi脿n)鎬уソ锛屼娇鐢ㄥ＝鍛介暦(zh菐ng)锛屾娓�(c猫)淇℃伅閲忚睈瀵�锛岃€屼笖娓呮礂绨�(ji菐n)鍠紝闈炲父閬╁悎浜庡椤為鍝佺敘(ch菐n)鍝佺殑杈ㄥ垾鍗€(q奴)鍒�锛岃唱(zh矛)閲忚⿻(p铆ng)瀹氳垏鐪�?zh猫n)浼瓈R(sh铆)绛�銆�

2.鏁�(sh霉)鎿�(j霉)鍒嗘瀽鏂规硶浠嬬垂

2.1 闄嶇董鍒嗘瀽—鏈夋晥淇℃伅鐛插彇

闄嶇董鍒嗘瀽涓昏浣滅敤鏄皪(du矛)鏈夋晥淇℃伅閫�(j矛n)琛屽尟绺�锛屾帓闄ょ劇鐢ㄥ啑闆滀俊鎭紝寰炶€屽(sh铆)鐝�(xi脿n)澶氱董搴︿俊鎭珮鏁堢壒寰佹彁鍙�锛�瀵�(sh铆)鐝�(xi脿n)浣庣董搴︽暩(sh霉)鎿�(j霉)鍙鍖栥€�

涓昏绠楁硶鍖呭惈锛�PCA锛�Principal Component Analysis锛屼富鎴愬垎鍒嗘瀽锛�銆�LDA锛�Linear Discriminant Analysis锛岀窔鎬у垽鍒ュ垎鏋愶級銆丩LE (Locally Linear Embedding, 灞€閮ㄧ窔鎬у祵鍏�)銆丩E (Laplacian Eigenmaps銆佹媺鏅媺鏂壒寰佹槧灏�)銆�Isomap锛�Isometric feature mapping, 绛夎窛鐗瑰緛鏄犲皠)銆�T-SNE( t-distributed stochastic neighbor embedding ,t鍒嗗竷闅ㄦ(j墨)閯板煙宓屽叆)

2.2鍒嗛鍒嗘瀽—娣烽洔淇℃伅鐨勭簿婧�(zh菙n)鏈夊簭鍒嗛

澶氱ó鍒嗛绠楁硶鍙皣鍗冪櫨绲勫師濮嬪ぇ鏁�(sh霉)鎿�(j霉)蹇€熸簴(zh菙n)纰哄缓绔嬮鍒ョ瓑绱�(j铆)?锛�?/font>鎳�(y墨ng)鐢ㄤ簬锛�鐪熷亣閼掑垾銆佸搧绋憭鍒�銆佺敓鐢�(ch菐n)鍦版函婧�銆佺敘(ch菐n)鍝佸師鏂欓憭鍒�銆佸埗鍌欏伐钘濋憭鍒ャ€佸搧璩�(zh矛)绛夌礆(j铆)閼掑畾銆佹劅瀹樿⿻(p铆ng)绱�(j铆)妯℃摤銆佸樊鐣板垎鏋愮瓑銆�

涓昏绠楁硶鍖呭惈锛�LDA锛�Linear Discriminant Analysis锛岀窔鎬у垽鍒ュ垎鏋愶級銆�PLSDA锛�Partial least squares discrimination analysis锛屽亸鏈€灏忎簩涔樻硶鍒ゅ垾锛夈€�BPNN锛�Back Propagation Neural Net锛�BP绁炵稉(j墨ng)缍�(w菐ng)绲�(lu貌)锛夈€�SVM锛�Support Vector Machine锛屾敮鎸佸悜閲忔(j墨)锛夈€�KNN锛�K-NearestNeighbor锛屾渶杩戦劙绠楁硶锛�

2.3鍥炴鍒嗘瀽—鎰熷畼鎸囨(bi膩o)鐨勫畾閲忛爯(y霉)娓�(c猫)

澶氱ó绠楁硶閬告搰锛屾彁楂樺畾閲忛爯(y霉)娓�(c猫)婧�(zh菙n)纰哄害锛屽彲鎳�(y墨ng)鐢ㄤ簬灏�(du矛)璨ㄦ灦鏈�銆侀厤鏂规績搴︺€佹劅瀹樻寚妯�(bi膩o)绛夌窔鎬ф寚妯�(bi膩o)閫�(j矛n)琛屽畾閲忛爯(y霉)娓�(c猫)銆�

涓昏绠楁硶鍖呭惈锛�PLSDA锛�Partial least squares discrimination analysis锛屽亸鏈€灏忎簩涔樻硶鍒ゅ垾锛�銆�BPNN锛�Back Propagation Neural Net锛�BP绁炵稉(j墨ng)缍�(w菐ng)绲�(lu貌)锛�銆�SVM锛�Support Vector Machine锛屾敮鎸佸悜閲忔(j墨)锛�

2.4鑱氶鍒嗘瀽—鏈煡鏁�(sh霉)鎿�(j霉)鎸栨帢鐨勬湁鏁堜俊鎭�

鑱氶鍒嗘瀽鎸囧皣鐗╃悊鎴栨娊璞″皪(du矛)璞＄殑闆嗗悎鍒嗙祫鐐虹敱椤炰技鐨勫皪(du矛)璞＄祫鎴愮殑澶氬€�(g猫)椤炵殑鍒嗘瀽閬庣▼銆傚畠鏄竴绋噸瑕佺殑浜洪琛岀偤?锛熻摢?du矛)鏈煡淇℃伅涓皨鎵捐(gu墨)寰�銆�鎳�(y墨ng)鐢細鐣板父鏁�(sh霉)鎿�(j霉)鎴栨ǎ鍝佺殑鎺掓煡锛堟帓鏌ョ暟鍛宠棩鍝侊級銆佸湪澶ф壒閲忔暩(sh霉)鎿�(j霉)涓壘灏嬪叡鍚岄粸(di菐n) 锛堝皪(du矛)姣斾笉鍚岀敘(ch菐n)鍦板師鏂欒棩鐨勭浉浼兼€э級銆佹暩(sh霉)鎿�(j霉)鎸栨帢鏈煡鐨勪俊鎭紙绡╅伕钘ュ搧鐨勮帛钘忔湡锛�銆�

涓昏绠楁硶鍖呭惈锛�姝愭皬璺濋洟锛�Euclid Distance锛�銆侀枖寮忚窛闆紙Minkowski Distance锛�銆�棣皬璺濋洟(Mahalanobis distance)銆�DBSCAN锛�Density-Based Spatial Clustering of Applications with Noise銆佸瘑搴﹁仛椤炵畻娉曪級銆�K-Means锛�k-means clustering algorithm 銆�k鍧囧€艰仛椤炵畻娉曪級銆�SOM锛�Self-organizing feature Map銆佽嚜绲勭箶鐗瑰緛鏄犲皠缍�(w菐ng)绲�(lu貌)锛�銆�LVQ (Learning Vector Quantization銆佸(xu茅)缈�(x铆)鐭㈤噺閲忓寲)

涓�銆佸(sh铆)椹�(y脿n)

1.妯ｅ搧淇℃伅

妯ｅ搧鐐轰笉鍚屽搧鐗岀殑鑵愪钩妯ｅ搧锛岀法铏�(h脿o)鍒嗗垾鐐�1锛�2锛�3锛�4銆�5铏�(h脿o)锛屾瘡鍊�(g猫)妯ｅ搧鍙栫浉绛夎唱(zh矛)閲忕疆浜庨爞绌洪€�(j矛n)妯ｆǎ鍝佺摱涓�锛岄潨缃�30鍒嗛悩锛屾瘡鍊�(g猫)妯ｅ搧鍋�4鍊�(g猫)骞宠銆傚(sh铆)椹�(y脿n)妯ｅ搧绶ㄨ櫉(h脿o)鍙婄ず鎰忓湒濡備笅锛�

妯ｅ搧绶ㄨ櫉(h脿o)	妯ｅ搧鍚嶇ū
1	鐜嬭嚧鍜屽ぇ濉婅厫涔�
2	鐜嬭嚧鍜岃嚟璞嗚厫
3	鐜嬭嚧鍜岀櫧鑵愪钩
4	鐜嬭嚧鍜屾贰鍙ｉ棣欒厫涔�
5	鑰佹墠鑷ｇ磪娌硅厫涔�

2.妯ｅ搧铏曠悊鍙婂(sh铆)椹�(y脿n)鍙冩暩(sh霉)

姣忓€�(g猫)妯ｅ搧绋卞彇鐩哥瓑璩�(zh矛)閲忥紝鐢ㄧ磾鍑堟按閫�(j矛n)琛屾彁鍙�銆傞噺鍙栫浉鍚岀殑楂旂⿳閫�(j矛n)琛屾娓�(c猫)銆傛ǎ鍝佹娓�(c猫)鍓嶅厛閫�(j矛n)琛屽偝鎰熷櫒闋�(y霉)鐔�銆佹竻娲楀強鍙冩暩(sh霉)瑷�(sh猫)缃�锛屾ǎ鍝佹娓�(c猫)鍙冩暩(sh霉)瑕嬭〃1銆�

琛�1 妯ｅ搧妾㈡脯(c猫)鍙冩暩(sh霉)琛�

鏈€澶ч浕澹�	10V
鏈€浣庨浕澹�	-10V
鑴堟矕闁撻殧	100MV
闈堟晱搴�	10^-4

鏍规摎(j霉)鏈瀵�(sh铆)椹�(y脿n)鍙互寰楀埌5鍊�(g猫)涓嶅悓鑵愪钩妯ｅ搧涔嬮枔鐨�鍛宠宸暟銆傛牴鎿�(j霉)PCA鏁�(sh霉)鎿�(j霉)涓绘垚鍒嗗垎鏋愬彲浠ョ湅鍑�鑵愪钩5鍊�(g猫)鑵愪钩妯ｅ搧鍙互鐢ㄩ浕瀛愯垖閫�(j矛n)琛屽懗閬撳垎鏋愶紝灏ゅ叾妯ｅ搧2鑸囧叾浣欒厫涔冲懗妯ｅ搧璺濋洟杓冮仩(yu菐n)锛屽懗閬撳樊鐣拌純澶�锛�瑾槑鐢ㄤ繚鍦ｉ浕瀛愯垖鏄彲浠ュ皪(du矛)涓嶅悓鑵愪钩妯ｅ搧閫�(j矛n)琛屽崁(q奴)鍒嗛憭鍒ョ殑銆傛垜鍊戦€氶亷妯″瀷寤虹珛鍜屾ā鍨嬮爯(y霉)娓�(c猫)椹�(y脿n)璀�寰楀埌鍩烘湰鍙互瀹屽叏鍗€(q奴)鍒嗘ǎ鍝佺殑鍒嗛妯″瀷銆�鏍规摎(j霉)瑭插垎椤炴ā鍨�锛屽彲浠ュ皪(du矛)鏈煡鑵愪钩妯ｅ搧閫�(j矛n)琛岃拷婧�锛�鎴栬€呭皪(du矛)涓嶅悓鍝佺墝鑵愪钩妯ｅ搧閫�(j矛n)琛岄憭鍒�銆�

涓婁竴绡囷細璋风墿鍝佽唱(zh矛)鍒嗘瀽鐢ㄤ粈涔堝剙鍣�锛熸穩绮夌硦鍖栧害鍒嗘瀽鍛�锛�

涓嬩竴绡囷細鎵佹浠佽唱(zh矛)妲�(g貌u)鐗规€х殑鐮旂┒