[Hóa Học] Ứng Dụng Maltodextrin Phần 4 pot

... ta có: {x1, x2, x3, x 4 , x5} = {10, 20, 30, 40 , 50} tương ứng µAT = {0; 0.5; 1; 0.5; 0} Và Với 5 điểm rời rạc của Y (cơ sở của B) {y1, y2, y3,yx 4 , y5} = {0.5, 0.6, 0.7, ... µB'(y) của giá trị đầu ra khi đầu vào là giá trị rõ x 4 cũng được xác định bằng công thức: aT = (0, 0, 0, 1, 0) µB'(y) = µR(x 4 , y) = aT .R = {0, 0.25, 0.5, 0.25, 0}. Đê rút ngắn ... 0.6 0.7 0.8 0.9 i = 1 10 0 0 0 0 0 i = 2 20 0 0.25 0.5 0.25 0 i = 3 30 0 0.5 1 0.5 0 i = 4 40 0 0.25 0.5 0.25 0 i = 5 50 0 0 0 0 0 c) Thuật toán xây dựng R Từ các phân tích trên,...

... tập mờ đầu vào (2 .41 ). (2 .43 ) và các thông số γ. Pn được xác định ở trên ta tiến hành xây dựng bộ điều khiển mờ theo trình tự sau: - Định nghĩa các hàm liên thuộc (2 .41 ) (2 .43 ). - Xây dựng ... thuộc (2 .41 ) (2 .43 ). - Xây dựng hàm mờ cơ sơ sở (2 .47 ). - Xác đinh luật thích nghi - Xây dựng bộ điều khiển (2 .46 ). Chú ý: - Hệ số y trong (2 .49 ) nói lên tốc độ hội tụ của thuật toán thích ... niiRu 1 if e1 = 11iA and e2 = 22iA and…and en = ninA then u = niiB 1(2 .44 ) Trong đó i1 = 1, 2 , N1; in = 1, 2, , Nn là số hàm liên thuộc cho mỗi biến đầu vào...

... net.IW{1,1} weights = -0 0615 -0.21 94 bias = net.b(1) bias = [0.5899] Ta có thể mô phỏng mạng như sau: A = sim(net, p) A = 0.0282 0.9672 0.2 741 0 .43 20, Sai số được tính toán: err = ... net.b{1} =[ -41 ; b = net.b{1} b = 4 Ta có thể mô phỏng mạng tuyến tính đối với véc tơ vào cụ thể, ví dụ P = [5;6]; ta có thể tìm được đầu ra mạng với hàm sim. a = sim(net,p) a = 24 Tóm lại, ... thiết rằng mạng được huấn luyện với bộ 4 phần tử véc tơ vào và 4 đích. Lời giải đầy đủ thỏa mãn wp + b = t đối với mỗi véc tơ vào có thể không tồn tại do có 4 biểu thức ràng buộc mà chỉ có 1 hàm...

... 1 64 NHÀ XUẤT BẢN KHOA HỌC TỰ NHIÊN VÀ CÔNG NGHỆ 18 đường Hoàng Quốc Việt, Cầu Giấy, Hà Nội Điện thoại Phòng phát thanh: 04. 2 149 040 ; Biên tập: 04. 2 149 0 34 Quản lý tổng hợp: 04. 2 149 041 Fax: 04. 7910 147 , ... 'input', 3) subplot(2,2 ,4) plotmf(rsmat2, 'input', 4) Hàm liên thuộc mới được chi ra trên hình 6. 24. Hình 6. 24. Các hàm liên thuộc sau khi huấn luyện 149 Hình 6.16 Ta có thể ... Quốc Cường In 1000 cuốn khổ 16 x 24 tại Nhà in Khoa Học và Công Nghệ Số đăng ký KHXB: 1 24- 2007/CXB/012-10/KHTNVCN Cấp ngày 9 tháng 2 năm 2007. 1 54 Hình 6.22. Đồ thị chuỗi MG Để dự...

...

... -6 m2/s ; (åí 18oC) ; khäng khê = 14, 9.10 -6 m2/s (åí 30oC); Thuyớ khờ kyợ thuỏỷt ổùng duỷng Huyỡnh Vn Hoaỡng - Pahhgppptn 43 , 245 54) 100013515)(150,0350,0(81,9))((2121==== ... βt=1,815.10 -4 âäü -1 v h1=350 mm ; h2=150 mm v ρn=1000 kg/m3. p1 p2 nỉåïc 20oC h1 h2 Thu ngán Hçnh 3-5 Khäúi lỉåüng riãng ca thy ngán åí 20oC l 3 4 /1351520.10.815,1113600.11mkgttotn=+=∆+=−βρρ ... õổồỹc lổồỹng nổồùc cỏửn phaới cung cỏỳp õóứ thổớ aùp lổỷc 33962210.83,810.210.5.50 4 3,0. 4 .mEpldEpVVnn==== Thu khê k thût ỉïng...

... (hỗnh 7 .4) . Nóỳu T truỡng vồùi thỗ vỏỷt lồ lổớng trong chỏỳt loớng theo vở trờ õỷt ban õỏửu cuớa noù . Fas G D T T D G Fas Hỗnh 7 - 4 Vỏỷt lồ lổớng 7.3 .4 - ióửu ... vỏỷt nghióng thóm. Thu khê k thût ỉïng dủng Hunh Vàn Hong - 4. Mäüt bãø chỉïa nỉåïc cọ ạp sút tuût âäúi tải M l 147 000 N/m2. tênh chiãưu cao cäüt ạp tải âọ theo m cäüt dáưu. Cho biãút ... âäüng : glTπ= Gia täúc dao âäüng : ϕεsinlg= 1.Tênh ạp sút tải âạy bãø sáu 4 m , nỉåïc trong bãø cọ khäúi lỉåüng riãng 1000 kg/m3, ạp sút tuût âäúi trãn màût thoạng l 1...

... dv = 4 .r2.dv Taỷi õióứm M baùn kờnh cuớa noù taỷo vồùi sồỹi xoaùy mọỹt goùc . Tổỡ phổồng trỗnh trón ta coù thaỡnh phỏửn sin cuớa phỏn tọỳ sồỹi xoaùy : drrdldv . 4 sin 4 .2== ... +=1.).1( dkdpdpcdsv (9.3) hay: ds = cv [ d (ln p) - k d (ln ) ] (9 .4) Tờch phỏn (9 .4) : =kvpdcdsln. =kkvppcss111lnln (9.5) Suy ... 2.2.SSkdSdSdsvαωω (8. 34) Nãúu âỉåìng cong k bao gäưm cạc âỉåìng cong k1,k',k2,k" trãn(hçnh 8 - 9a) hay trãn (hçnh 8 - 9b) thç lỉu säú váûn täúc cng bàịng khäng. Ta cọ ‚Γ2,3 = Γ 4, 1 nãn ‚Γ1,2...

... +++++=222222zyxzvyvxvdtdyyyzzyxyxy (9 .43 b) +++++=222222zyxzvyvxvdtdxxzxzxxxxx (9 .43 c) Vióỳt phổồng trỗnh naỡy theo veùctồ : += vgraddtd (9 .44 ) Tổỡ ... vz dx - vx dz = 0 . Thay cạc biãøu thỉïc ny vo (9 .47 ) : 022=−+⎟⎟⎠⎞⎜⎜⎝⎛+∂∂dUdpvdldtvρ (9 .49 ) Têch phán (9 .49 ) dc theo âỉåìng dng: constdUdpvdldtv=++⎟⎟⎠⎞⎜⎜⎝⎛+∂∂∫∫∫∫ρ22 ... (9 .41 a) Bióỳn õọứi tổồng tổỷ cho phổồng trỗnh thổù hai (9.37) : +++=+222222 2 2zvyvxvyFvvtvyyyxzzxy (9 .41 b) Lỏỳy õaỷo haỡm phổồng trỗnh (9 .41 a)...

... src="data:image/png;base 64, 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 +48 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 148 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 940 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 544 YVCoTAyMlLZjsKWcuTIka6urlQqteglU22jo6PZbDadTq92ExEA5l7YdC11hcvKbpM33njjpz/9aSaTmZ2dbWtr6+rqqn0ilFovTfyStMFW+0vM9fzCFNhcZlRzLxBa7AqXlb0l+/fvLxaLIYShoaEQwunTp80UW1ZnZ2cqlZqampqYmFjh66sQwvnz5z2mAOZeaEYttfIdQnjuuefS6XT1w2QyOT4+vvaXJtZpGq9ysppCoXDz5s3au4MuXLjQ39+/zscU2CxmVHMv0ILxXZ1NKh/Ozs6u50IAnio2xkpm9nK5vHv37pU8TwDiG3MvbN3JsMXuTywWGxkZqfw5nU67BFdT6Ovr6+3tzWQy09PTtztmeHi4UCiMjY2Z/QHMvdC8Wm3lu/Iy/aGHHvr 444 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òng ... src="data:image/png;base 64, 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 +48 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 148 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 940 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 544 YVCoTAyMlLZjsKWcuTIka6urlQqteglU22jo6PZbDadTq92ExEA5l7YdC11hcvKbpM33njjpz/9aSaTmZ2dbWtr6+rqqn0ilFovTfyStMFW+0vM9fzCFNhcZlRzLxBa7AqXlb0l+/fvLxaLIYShoaEQwunTp80UW1ZnZ2cqlZqampqYmFjh66sQwvnz5z2mAOZeaEYttfIdQnjuuefS6XT1w2QyOT4+vvaXJtZpGq9ysppCoXDz5s3au4MuXLjQ39+/zscU2CxmVHMv0ILxXZ1NKh/Ozs6u50IAnio2xkpm9nK5vHv37pU8TwDiG3MvbN3JsMXuTywWGxkZqfw5nU67BFdT6Ovr6+3tzWQy09PTtztmeHi4UCiMjY2Z/QHMvdC8Wm3lu/Iy/aGHHvr 444 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òng ... src="data:image/png;base 64, 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 +48 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 148 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 940 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 544 YVCoTAyMlLZjsKWcuTIka6urlQqteglU22jo6PZbDadTq92ExEA5l7YdC11hcvKbpM33njjpz/9aSaTmZ2dbWtr6+rqqn0ilFovTfyStMFW+0vM9fzCFNhcZlRzLxBa7AqXlb0l+/fvLxaLIYShoaEQwunTp80UW1ZnZ2cqlZqampqYmFjh66sQwvnz5z2mAOZeaEYttfIdQnjuuefS6XT1w2QyOT4+vvaXJtZpGq9ysppCoXDz5s3au4MuXLjQ39+/zscU2CxmVHMv0ILxXZ1NKh/Ozs6u50IAnio2xkpm9nK5vHv37pU8TwDiG3MvbN3JsMXuTywWGxkZqfw5nU67BFdT6Ovr6+3tzWQy09PTtztmeHi4UCiMjY2Z/QHMvdC8Wm3lu/Iy/aGHHvr 444 /X/74Q6zQbpva7efL5fEdHR1dX16VLl4wVNCkzqrkXCK238h0+P+3g2bNnvS+kiVRPPfvCCy/c+mpq3759IYRXX33VQAGYe6GpteDKdz1fmlin2UCVX1lks9mZmZmF55FdzzVKATMq5l4Q354qWFrl1LMLf8VZKpV27tzp5LJgRsXcCy0yGRoCNkaxWKycf72Gyqlns9ls9dSzlUuW2kQEYO6F1mDlu+ZLE+s09TMwMPD6669fv3699mELTz176dKlxx57zMllwYyKuRdaZzI0BGyY6vnXa4jFYmfPng0hDA4O7t+/P4RguyHQjMrlcrlcNvcCi/h1UjMpFouvvfZak37x77//fghhhZcy/ta3vpXJZEIIP/jBD5r3LocQOjs7d+7c6Vu3Wezatcsv2VnSCueuhV577bVCoXD48GFzr7kXc+9CG7ftZNGF31nDb/SGhoZOnjxp6GDr/FSyck297aTyhQHm3maKb08V61culz/88MMmHcyhoaFf/epXMzMzKzz+xo0bX/ziF7/0pS819bfQm2++6eeoiezdu9dlccX3kvL5/BpmvBBCT0/PL37xC3OvuRdzb5VfsDbVoxWNLjwJa3OpXJp45V9/897T1rsXwKp+lvP5fKW8QwjT09NXrlzp6+sz95p74bNVBkMAAHVUuTBkIpGofPj0009vkXdeAluBlW/qrFwuDw8P33pa2ddffz2EMDAwsGFfSTweHxkZ8f45YCNduHAhm80mk8kQQiaTGRsbO3To0Ojo6NGjR829QLDnuzZnpV3bE0BfX9/U1NSmfyWJROLy5cu28IIZdSMnwN27dxcKhdnZ2aGhoUwm8+mnn1Zvaeh0ZO6FppkMDQH1FY1GL168OHeLyjrQ3Aa6fv262R/YSKOjo4VC4eTJk9XJJxqNnj9/PoQwNDRk7gXENwDUR7FYTKVSiUTiyJEjC2/v6elJJpOZTCaXyxklQHwDQB1U1rbPnj1763bn559/PoSw6RfcAcQ3ALSCXC6XyWR6e3uXPKtge3t7Op3OZrNruFIm0GK84bLmSxNvuKyTcDòng...