• <tr id="yyy80"></tr>
  • <sup id="yyy80"></sup>
  • <tfoot id="yyy80"><noscript id="yyy80"></noscript></tfoot>
  • 99热精品在线国产_美女午夜性视频免费_国产精品国产高清国产av_av欧美777_自拍偷自拍亚洲精品老妇_亚洲熟女精品中文字幕_www日本黄色视频网_国产精品野战在线观看 ?

    Modeling of Isomerization of C8 Aromatics by Online Least Squares Support Vector Machine*

    2009-05-14 03:04:58LILijuan李麗娟SUHongye蘇宏業(yè)andCHUJian褚建

    LI Lijuan (李麗娟), SU Hongye (蘇宏業(yè)) and CHU Jian (褚建)

    ?

    Modeling of Isomerization of C8Aromatics by Online Least Squares Support Vector Machine*

    LI Lijuan (李麗娟)1,2,**, SU Hongye (蘇宏業(yè))2and CHU Jian (褚建)2

    1College of Automation and Electrical Engineering, Nanjing University of Technology, Nanjing 210009, China2State Key Lab. of Industrial Control Technology, Institute of Cyber-systems and Control, Zhejiang University, Hangzhou 310027, China

    The least squares support vector regression (LS-SVR) is usually used for the modeling of single output system, but it is not well suitable for the actual multi-input-multi-output system. The paper aims at the modeling of multi-output systems by LS-SVR. The multi-output LS-SVR is derived in detail. To avoid the inversion of large matrix, the recursive algorithm of the parameters is given, which makes the online algorithm of LS-SVR practical. Since the computing time increases with the number of training samples, the sparseness is studied based on the projection of online LS-SVR. The residual of projection less than a threshold is omitted, so that a lot of samples are kept out of the training set and the sparseness is obtained. The standard LS-SVR, nonsparse online LS-SVR and sparse online LS-SVR with different threshold are used for modeling the isomerization of C8aromatics. The root-mean-square-error (RMSE), number of support vectors and running time of three algorithms are compared and the result indicates that the performance of sparse online LS-SVR is more favorable.

    least squares support vector machine, multi-variable, online, sparseness, isomerization

    1 Introduction

    The C8aromatics fraction in a refinery consists mainly of four isomers,..,-xylene (OX),-xylene (MX),-xylene (PX) and ethylbenzene (EB). Of all these isomers, PX is the one with major industrial importance since it is widely used in the manufacture of synthetic fibers [1]. The isomers OX, MX and EB are converted into more valuable PX over the catalysts in the process of isomerization of C8aromatics [2].

    Isomerization of C8aromatics is a multi-variable and highly complex process, the model of which has gained considerable interest over the years. Among the available literatures, kinetic models for different catalysts were widely studied [1-6]. However, the kinetic models varied with different operating conditions, and their precision was not so satisfactory for industrial process [2]. Some researchers attempted to model the isomerization process with data-driven model. Radial basis function-multidimension cyclic subspace regression (RBF-MCSR) method was applied in the isomerization of xylene and good performance was obtained [7]. An adaptive artificial neural network was applied in the modeling of aromatic hydrocarbon isomerization [8]. The statistical model was studied and the effects of different operating variables on the yield of-xylene were analyzed [1].

    Support vector machine (SVM) [9, 10] has been used in classification and regression problems. Least squares support vector machine (LS-SVM) [11] is a modified version of SVM, in which analytical solutions can be obtained by solving linear equations instead of a quadratic programming (QP) problem. A good many of papers refer to the application of SVM in chemical engineering, such as polymerization process [12] and pure terephthalic acid (PTA) oxidation process [13, 14], which shows good performance of SVM in modeling of chemical industry.

    In most modeling applications of LS-SVM, the output is single variable, which is not well suitable for the actual multi-input-multi-output system. In this paper, we present the multi-output least squares support vector regression (LS-SVR) and farther study the online algorithm. To avoid the inversion of large matrices in LS-SVM, the recursive formula and online LS-SVM have been presented [15]. Similarly, we propose the online LS-SVR for multi-output system in this study. The sparseness based on projection is discussed since the computing time increases rapidly with the number of samples. The presented online multi-output sparse algorithm is applied in the modeling of isomerization process of C8aromatics in a refinery. The accuracy and running time are compared for standard LS-SVR, nonsparse online LS-SVR and sparse online LS-SVR.

    2 Multi-output least squares support vector regression

    2.1 Standard least squares support vector regression

    2.2 Multi-output least squares support vector regression

    The optimization problem is defined as follows,

    subjected to the equality constraints

    The Lagrangian equation is defined as

    which gives conditions for optimization,

    Then the LS-SVM model can be given by

    3 Online multi-output LS-SVR

    3.1 Recursive algorithm of multi-output LS-SVR

    where

    Proof We first introduce the following lemmas for convenience.

    Lemma 1 Let,and (+) be nonsingular matrices, then

    holds [17].

    Lemma 2 Let partitioned matrix

    and11,22be nonsingular matrices, then

    holds.

    Assuming that

    We can rewrite Eq. (18) as

    Eq. (17) can be written as follows,

    3.2 Sparsity of recursive algorithm

    3.2.1

    is the squared length of the residual.

    3.2.2

    Substituting Eq. (27) into Eq. (26), we get the length of the residual,

    Then the recursion of+1can be computed by

    Theorem 2 can be proven similarly to Theorem 1, which is omitted here.

    3.3 Procedure of the online algorithm

    With above multi-output online algorithm, the procedure of online modeling a continuous process by LS-SVR can be designed as follows.

    4 Online modeling of isomerization of C8 aromatics

    4.1 Industrial flowsheet of isomerization unit

    The PX joint process in a refinery comprises PX adsorption separation unit, xylene isomerization unit and xylene rectification unit. The PX adsorption separation unit is for separation of PX from other three isomers. In the xylene isomerization unit, the C8aromatics with lean PX from the adsorption separation unit is converted to C8aromatics with balanced PX under the influence of catalyst. The xylene rectification unit has two functions, to supply raw material C8aromatics to the adsorption separation unit and supply heat to other two units.

    The industrial flowsheet of isomerization of C8aromatics is shown in Fig. 1. The C8aromatics with lean PX from the adsorption separation unit, together with C8-paraffin and polymethylene [C8(N+P)] fraction from recycle column T302 and recycle hydrogen from compressor, exchange heat with reaction product in heat exchanger E301. Then the mixture is heated to the required temperature in the furnace F301 and reacts in the reactor R301 to realize the equilibrium of the PX in C8aromatics. The reaction product is delivered into the gas-liquid separator V301 after condensation in condenser A301. The gas product from V301 is utilized as recycle hydrogen while the liquid product enters the heptane deprivation column T301. The top component of column T301, comprising light component below heptane and C8(N+P), enters the refluence tank Y302, some of which flows back to the top of the column, and the rest is delivered into recycle column T302 for separation of C8(N+P) component and returns to the isomerization reactor. The main bottom components of column T301 are C8aromatics, which is delivered into the rectification unit.

    Figure 1 Industrial flow chart of isomerization of C8aromatics

    1—reactor; 2—furnace; 3—heat exchanger; 4—condenser; 5—gas-liquid separator; 6—heptane deprivation column; 7,9—refluence tank; 8—recycle column

    4.2 Simulation results

    The percentage of PX in the feed of the heptane deprivation column, isomerization yield of PX and conversion of EB, from which the quality of isomerization process can be evaluated, are selected as the output variables of the model. According to the kinetic model and industrial experience, the main factors affecting the reaction are reaction temperature, pressure, the total feed and concentrations of PX, MX, OX, EB, and C8(N+P) in the feed, weight space velocity (WHSV), and ratio of H2to hydrocarbon (H2/HC). These 10 variables are selected as the inputs of the model, as listed in Table 1. The total feed of the reactor is composed of the fresh feed from the adsorption separation unit and the recycle feed from the recycle column. Accordingly, the components of the total feed are the weighted results of corresponding components of the fresh feed and the recycle feed.

    Table 1 Input and output variables of the model

    A total of 490 data samples were collected from a practical isomerization process of C8aromatics from June 1, 2004 to March 31, 2005. The sampling period is6 h. To illustrate the performance of online multi-output LS-SVR, we train the LS-SVR by standard LS-SVR, online LS-SVR and sparse online LS-SVR separately.

    The radial basis function (RBF)

    is chosen as the kernel function in the experiment.

    The predictive result of nonsparse online LS-SVR is shown in Fig. 3. The online LS-SVR is obviously superior to standard LS-SVR in the predictive precision as the operation condition changes.

    The root-mean-square-error (RMSE) is defined to evaluate the performance in our experiments,

    Table 2 Comparison of three LS-SVR algorithms

    It can be seen from Table 2 that the accuracy of online LS-SVR is much higher than the standard LS-SVR, especially when the operation condition changes. Nonsparse online LS-SVR shows the highest precision but the longest running time. The sparse online LS-SVR solves the running time problem perfectly with a minor influence of the precision. Smallerlowgives higher precision and longer running time. Therefore, the trade-off between the precision and running time can be obtained by regulating the thresholdlow.

    5 Conclusions

    The proposed multi-output online sparse LS-SVR is a practical algorithm for online modeling of multi-variable industrial processes, which achieves relatively high precision with less computation. The inversion of large matrix is avoided and the computing time is decreased by passing over some samples based on projection method. At the same time, by online modifying the model, higher predictive accuracy is obtained. The example of isomerization of C8aromatics indicates the practicability of the presented method for actual processes.

    1 Horacio, G., Abante, R., Luis, C., Jorge, R., “Isomerization of C8aromatics over a Pt/Mordenite Catalyst. A statistical model”,...., 35, 3964-3972 (1996).

    2 Xu, O.G., Su, H.Y., Jin, X.M., Chu, J., “Kinetic model for hydroisomerization reaction of C8aromatics”,....., 21 (3), 429-435 (2007).

    3 Li, Y.G., Chang, X.D., Zeng, Z.H., “Kinetics study of the isomerization of xylene on HZSM-5 zeolite.1.Kinetics model and reaction mechanism”,...., 31 (1), 187-192 (1992).

    4 Iliyas, A., Al-Khattaf, S., “Xylene isomerization over USY zeolite in a riser simulator: A comprehensive kinetic model”,...., 43, 1349-1358 (2004).

    5 Wu, D.X., Lin, Z.X., “Kinetic modeling of hydroisomerization of C8aromatics (I) Modeling and estimation of relative rate constants by the wei-prater method”,.... (), 3, 257-267 (1985). (in Chinese)

    6 Wu, D.X., Lin, Z.X., “Kinetic modeling of hydroisomerization of C8aromatics (II) Mathematical expression of ray vector and its application”,.... (), 3, 268-277 (1985). (in Chinese)

    7 Li, Z.H., Chen, D.Z., Zhuang, L., Hu, S.X., “RBF-MCSR approach as modeling technique for equipment of isomerization of xylene”,.... (), 6, 627-632 (2002). (in Chinese)

    8 Yan, X., “Aromatic hydrocarbon isomerization process modeling based on adaptive artificial neural networks”,, 33 (5), 6-8(2006).

    9 Vapnik, V., Statistical Learning Theory, John Wiley, New York (1998).

    10 Vapnik, V., The Nature of statistical Learning Theory, Spring-Verlag, New York (1995).

    11 Suykens, J. A.K., Vandewalle, J., “Least squares support vector machine classifiers”,, 9, 293-300 (1999).

    12 Lee, D.E., Song, J.H., Song, S.O., Yoon, E.S., “Weighted support vector machine for quality estimation in the polymerization process”,...., 44 (7), 2101-2105 (2005).

    13 Zhang, Y., Su, H.Y., Liu, R.L., Chu, J., “Fuzzy support vector regression model of 4- CBA concentration of industrial PTA oxidation process”,...., 13 (5), 642-648 (2005).

    14 Zheng, X., Qian, F., “Application of least squares support vector machine within evidence framework in PTA process”,.... (), 57 (7), 1612-1616 (2006). (in Chinese)

    15 Li, L., Su, H.Y., Chu, J., “Generalized predictive control with online least squares support vector machines”,, 33 (11), 1182-1188 (2007).

    16 Suykens, J.A.K., Vandewalle, J., “Multiclass least squares support vector machines”, In: International Joint Conference on Neural Networks, Washington (1999).

    17 Ljung, L., System Identification—Theory for the User, Prentice Hall PTR, Sebastopol (1999).

    2008-04-30,

    2009-03-20.

    the National Creative Research Groups Science Foundation of China (60721062) and the National Basic Research Program of China (2007CB714000).

    ** To whom correspondence should be addressed. E-mail: ljli@njut.edu.cn

    国产欧美日韩精品亚洲av| 日本黄色片子视频| 老女人水多毛片| 国产伦在线观看视频一区| 亚洲人成网站在线播放欧美日韩| 美女大奶头视频| 草草在线视频免费看| 久久久精品欧美日韩精品| 国产亚洲av嫩草精品影院| 欧洲精品卡2卡3卡4卡5卡区| 少妇熟女aⅴ在线视频| 国产精品久久久久久亚洲av鲁大| 99国产精品一区二区蜜桃av| 免费看av在线观看网站| 国产伦在线观看视频一区| 神马国产精品三级电影在线观看| 露出奶头的视频| 精品免费久久久久久久清纯| 日本免费a在线| 搡老妇女老女人老熟妇| 久久久久久久久久黄片| 国产午夜精品久久久久久一区二区三区 | 黄片wwwwww| 久久久午夜欧美精品| 成年女人看的毛片在线观看| 亚洲中文字幕日韩| 麻豆久久精品国产亚洲av| 欧美精品啪啪一区二区三区| 天堂av国产一区二区熟女人妻| 成人欧美大片| 在线观看舔阴道视频| 两性午夜刺激爽爽歪歪视频在线观看| 人妻制服诱惑在线中文字幕| 又紧又爽又黄一区二区| 999久久久精品免费观看国产| 国产爱豆传媒在线观看| 最好的美女福利视频网| 亚洲精品日韩av片在线观看| 成人国产麻豆网| 亚洲内射少妇av| 国产伦人伦偷精品视频| 男人狂女人下面高潮的视频| 国产精品99久久久久久久久| 国产真实伦视频高清在线观看 | 欧美日韩国产亚洲二区| av天堂在线播放| 长腿黑丝高跟| 国产成人av教育| 精品国内亚洲2022精品成人| 男人舔奶头视频| 亚洲精品粉嫩美女一区| 国产精品一区www在线观看 | 毛片一级片免费看久久久久 | 人人妻,人人澡人人爽秒播| 国产一区二区激情短视频| 精品一区二区三区视频在线| 中文字幕高清在线视频| 亚洲美女黄片视频| 久久久久久久精品吃奶| 国内久久婷婷六月综合欲色啪| 伦理电影大哥的女人| 亚洲精品成人久久久久久| 制服丝袜大香蕉在线| 美女 人体艺术 gogo| 成人一区二区视频在线观看| 免费观看在线日韩| 男女边吃奶边做爰视频| 夜夜夜夜夜久久久久| 看黄色毛片网站| 一进一出抽搐gif免费好疼| 天堂√8在线中文| 一本久久中文字幕| 日韩一区二区视频免费看| 免费观看在线日韩| 日韩强制内射视频| 久久精品国产亚洲网站| 国产aⅴ精品一区二区三区波| 欧美激情久久久久久爽电影| 人妻夜夜爽99麻豆av| 久久精品夜夜夜夜夜久久蜜豆| 丝袜美腿在线中文| 乱码一卡2卡4卡精品| 国产熟女欧美一区二区| a级毛片免费高清观看在线播放| bbb黄色大片| 美女被艹到高潮喷水动态| 成人av一区二区三区在线看| 久久精品综合一区二区三区| 久久久久性生活片| 中国美白少妇内射xxxbb| 日本与韩国留学比较| 日韩欧美免费精品| 亚洲精品乱码久久久v下载方式| 国产黄片美女视频| 他把我摸到了高潮在线观看| 欧美色视频一区免费| 亚洲三级黄色毛片| 一区二区三区高清视频在线| 欧美一区二区亚洲| 日本三级黄在线观看| 国产精品1区2区在线观看.| 久久久成人免费电影| 久久天躁狠狠躁夜夜2o2o| 日本三级黄在线观看| 中文亚洲av片在线观看爽| 99久久中文字幕三级久久日本| 性色avwww在线观看| 九色国产91popny在线| 动漫黄色视频在线观看| 久久久久久久午夜电影| 国产单亲对白刺激| 久久香蕉精品热| 97超视频在线观看视频| 久久久国产成人免费| 日韩一区二区视频免费看| 国产av在哪里看| 嫩草影院新地址| 精品99又大又爽又粗少妇毛片 | 真人一进一出gif抽搐免费| 午夜精品一区二区三区免费看| 午夜福利在线观看免费完整高清在 | 一区二区三区激情视频| 女生性感内裤真人,穿戴方法视频| 很黄的视频免费| 欧美人与善性xxx| 国产三级在线视频| 成人午夜高清在线视频| 精品久久久噜噜| 久久热精品热| 乱人视频在线观看| 亚洲一区高清亚洲精品| 九九在线视频观看精品| 综合色av麻豆| 亚洲图色成人| 亚洲无线在线观看| 成人二区视频| 国产视频一区二区在线看| 亚洲av.av天堂| 高清毛片免费观看视频网站| 国产精品人妻久久久久久| av中文乱码字幕在线| 精品免费久久久久久久清纯| 亚洲三级黄色毛片| 色噜噜av男人的天堂激情| 一区二区三区免费毛片| 久久久久久久久中文| 五月伊人婷婷丁香| 国产亚洲av嫩草精品影院| 精品久久久久久久人妻蜜臀av| 国产精品福利在线免费观看| 色播亚洲综合网| 一本精品99久久精品77| av在线观看视频网站免费| 一区二区三区四区激情视频 | 老司机午夜福利在线观看视频| 波野结衣二区三区在线| 亚洲精品国产成人久久av| 国产69精品久久久久777片| 少妇高潮的动态图| 波多野结衣高清作品| 中文字幕精品亚洲无线码一区| 欧美绝顶高潮抽搐喷水| 亚洲av.av天堂| 亚洲av免费高清在线观看| 日韩欧美国产在线观看| 亚洲经典国产精华液单| 色在线成人网| 色吧在线观看| 长腿黑丝高跟| 亚洲av熟女| 一区二区三区免费毛片| 亚洲va在线va天堂va国产| 久久精品国产99精品国产亚洲性色| 国产色爽女视频免费观看| 又黄又爽又免费观看的视频| 国产高潮美女av| 99久久精品热视频| 观看美女的网站| 国产成人av教育| 成人一区二区视频在线观看| 午夜福利在线观看免费完整高清在 | 好男人在线观看高清免费视频| 久久久久久久亚洲中文字幕| 波野结衣二区三区在线| 色噜噜av男人的天堂激情| 嫩草影院新地址| 十八禁国产超污无遮挡网站| 日本色播在线视频| 在线免费十八禁| 国产精品乱码一区二三区的特点| 国产精品,欧美在线| 国产麻豆成人av免费视频| 日韩,欧美,国产一区二区三区 | 中文字幕久久专区| 少妇丰满av| 一本一本综合久久| 成年版毛片免费区| 国产一区二区亚洲精品在线观看| 亚洲图色成人| 精品人妻视频免费看| 99riav亚洲国产免费| 欧美最黄视频在线播放免费| 国产三级在线视频| 午夜精品在线福利| 欧美激情国产日韩精品一区| 国产男人的电影天堂91| 欧美高清性xxxxhd video| 日本黄色视频三级网站网址| 狠狠狠狠99中文字幕| 中文字幕久久专区| 日日撸夜夜添| 亚洲精品456在线播放app | 欧美xxxx性猛交bbbb| 欧美激情久久久久久爽电影| 乱人视频在线观看| 欧美潮喷喷水| 久久久久久久久大av| 在线免费观看不下载黄p国产 | 51国产日韩欧美| 国产毛片a区久久久久| 亚洲国产欧洲综合997久久,| 日韩欧美在线二视频| 亚洲av中文av极速乱 | 老熟妇仑乱视频hdxx| 日本免费a在线| 成人综合一区亚洲| 久久99热这里只有精品18| bbb黄色大片| 在线a可以看的网站| 综合色av麻豆| 啦啦啦韩国在线观看视频| 午夜a级毛片| 国产精品美女特级片免费视频播放器| 99视频精品全部免费 在线| 亚洲最大成人av| 又爽又黄a免费视频| 国产av在哪里看| 久久久久九九精品影院| 伦理电影大哥的女人| 99在线人妻在线中文字幕| 久久精品国产99精品国产亚洲性色| 亚洲中文字幕一区二区三区有码在线看| 日韩强制内射视频| 免费在线观看日本一区| 91麻豆精品激情在线观看国产| 成人鲁丝片一二三区免费| 久久精品91蜜桃| 亚洲av熟女| 真人做人爱边吃奶动态| 长腿黑丝高跟| 国产在线精品亚洲第一网站| 色综合亚洲欧美另类图片| 亚洲一区高清亚洲精品| 久久欧美精品欧美久久欧美| 别揉我奶头~嗯~啊~动态视频| 一个人看的www免费观看视频| 乱人视频在线观看| 成人精品一区二区免费| 亚洲18禁久久av| 亚洲人成网站在线播| 大型黄色视频在线免费观看| 观看美女的网站| 国产中年淑女户外野战色| 少妇的逼好多水| 男女视频在线观看网站免费| 99热6这里只有精品| 色综合婷婷激情| 亚洲中文字幕日韩| 日日撸夜夜添| 久久午夜亚洲精品久久| 精品国内亚洲2022精品成人| 悠悠久久av| 丰满乱子伦码专区| 国产视频内射| 有码 亚洲区| 在现免费观看毛片| 免费人成在线观看视频色| 亚洲第一区二区三区不卡| 69av精品久久久久久| 中文字幕高清在线视频| 国产一区二区激情短视频| 国产大屁股一区二区在线视频| 3wmmmm亚洲av在线观看| 极品教师在线视频| 久久人人精品亚洲av| 在现免费观看毛片| 午夜福利在线观看免费完整高清在 | 国产精品98久久久久久宅男小说| 乱人视频在线观看| 成人精品一区二区免费| 国国产精品蜜臀av免费| 国产欧美日韩精品一区二区| 亚洲av免费在线观看| 夜夜夜夜夜久久久久| 国产黄片美女视频| 亚洲精品粉嫩美女一区| 日日撸夜夜添| 精品久久久久久久久av| 毛片一级片免费看久久久久 | 欧美色欧美亚洲另类二区| 联通29元200g的流量卡| 亚洲成人免费电影在线观看| 午夜a级毛片| 欧美xxxx黑人xx丫x性爽| 国产色爽女视频免费观看| 日本-黄色视频高清免费观看| 久久久久久久久大av| 国产一区二区亚洲精品在线观看| 最近视频中文字幕2019在线8| 麻豆成人午夜福利视频| 免费av观看视频| 成人国产麻豆网| 亚洲av免费高清在线观看| 99热这里只有是精品50| 久久热精品热| 99九九线精品视频在线观看视频| 成熟少妇高潮喷水视频| 欧美日韩瑟瑟在线播放| 亚洲av.av天堂| 国产成人av教育| 亚洲最大成人中文| 久久精品国产亚洲av香蕉五月| 麻豆成人午夜福利视频| 真人做人爱边吃奶动态| av中文乱码字幕在线| 亚洲精品久久国产高清桃花| av福利片在线观看| 在线观看午夜福利视频| 一级黄色大片毛片| www.www免费av| 白带黄色成豆腐渣| 成人午夜高清在线视频| 亚洲av五月六月丁香网| 91久久精品国产一区二区成人| 中国美白少妇内射xxxbb| 亚洲国产欧美人成| a级一级毛片免费在线观看| 国产av不卡久久| 成人美女网站在线观看视频| 91麻豆精品激情在线观看国产| 欧美高清性xxxxhd video| 少妇被粗大猛烈的视频| 亚洲精品456在线播放app | 欧美另类亚洲清纯唯美| 久久精品久久久久久噜噜老黄 | 亚洲18禁久久av| 观看免费一级毛片| 色吧在线观看| 久久久精品大字幕| 亚洲欧美日韩无卡精品| 亚洲av免费高清在线观看| 熟妇人妻久久中文字幕3abv| 男女下面进入的视频免费午夜| 综合色av麻豆| 别揉我奶头 嗯啊视频| 我的老师免费观看完整版| 一个人免费在线观看电影| 久久久久久久久久久丰满 | 久久久久久大精品| 欧美国产日韩亚洲一区| 男女啪啪激烈高潮av片| 嫩草影院新地址| 国产色婷婷99| 亚洲精品日韩av片在线观看| 别揉我奶头~嗯~啊~动态视频| h日本视频在线播放| 淫秽高清视频在线观看| 国产精品久久电影中文字幕| 国产三级中文精品| 少妇猛男粗大的猛烈进出视频 | 一级毛片久久久久久久久女| 国产伦在线观看视频一区| 久久久精品欧美日韩精品| 日韩在线高清观看一区二区三区 | 精品一区二区三区av网在线观看| АⅤ资源中文在线天堂| 成人精品一区二区免费| 偷拍熟女少妇极品色| 亚洲,欧美,日韩| 美女xxoo啪啪120秒动态图| 色5月婷婷丁香| 少妇的逼好多水| 天堂影院成人在线观看| 在线观看av片永久免费下载| 99国产精品一区二区蜜桃av| 成人欧美大片| 男女啪啪激烈高潮av片| 国产一区二区在线av高清观看| 非洲黑人性xxxx精品又粗又长| 日韩精品中文字幕看吧| 99久久中文字幕三级久久日本| 麻豆av噜噜一区二区三区| 免费av不卡在线播放| 有码 亚洲区| 亚洲av电影不卡..在线观看| 欧美日韩黄片免| 国产精品爽爽va在线观看网站| 内地一区二区视频在线| 色综合色国产| 国产免费av片在线观看野外av| 自拍偷自拍亚洲精品老妇| 免费大片18禁| 免费在线观看成人毛片| 久久久久免费精品人妻一区二区| 久久这里只有精品中国| 一本久久中文字幕| 不卡视频在线观看欧美| 长腿黑丝高跟| 欧美国产日韩亚洲一区| 免费看a级黄色片| 亚洲最大成人手机在线| 国产午夜精品论理片| 色综合亚洲欧美另类图片| 久久草成人影院| 神马国产精品三级电影在线观看| 久久久久久大精品| 国产在视频线在精品| av女优亚洲男人天堂| 日日摸夜夜添夜夜添av毛片 | 在线免费观看不下载黄p国产 | 国产视频内射| 色在线成人网| 精品久久久久久成人av| 久久99热这里只有精品18| 精品人妻一区二区三区麻豆 | 床上黄色一级片| 18+在线观看网站| 国产男人的电影天堂91| netflix在线观看网站| 一夜夜www| 欧美激情久久久久久爽电影| 嫁个100分男人电影在线观看| 国产一级毛片七仙女欲春2| 给我免费播放毛片高清在线观看| 精品人妻偷拍中文字幕| 国产亚洲欧美98| 欧美bdsm另类| 亚洲天堂国产精品一区在线| 有码 亚洲区| 搡老熟女国产l中国老女人| 亚洲av熟女| 国产视频一区二区在线看| 欧美成人a在线观看| 内射极品少妇av片p| eeuss影院久久| 午夜福利欧美成人| 毛片女人毛片| 少妇熟女aⅴ在线视频| 波多野结衣高清作品| 亚洲不卡免费看| 成人三级黄色视频| 成人av在线播放网站| 久久精品91蜜桃| 日本 欧美在线| 伦精品一区二区三区| 国产精品三级大全| 99热这里只有是精品50| 久久久久久伊人网av| 久久草成人影院| 亚洲乱码一区二区免费版| 51国产日韩欧美| 22中文网久久字幕| 真人一进一出gif抽搐免费| 中文亚洲av片在线观看爽| 成年女人永久免费观看视频| 中文资源天堂在线| 最近最新免费中文字幕在线| 老熟妇仑乱视频hdxx| 又爽又黄无遮挡网站| 国产精品久久久久久精品电影| 欧美最黄视频在线播放免费| 一个人免费在线观看电影| 欧美日韩综合久久久久久 | 在线国产一区二区在线| 日日干狠狠操夜夜爽| 全区人妻精品视频| 狂野欧美白嫩少妇大欣赏| 国产午夜精品久久久久久一区二区三区 | 国产真实乱freesex| 久久人人精品亚洲av| 久久精品国产鲁丝片午夜精品 | 欧美日韩瑟瑟在线播放| 成年人黄色毛片网站| 又粗又爽又猛毛片免费看| 国产单亲对白刺激| 97超视频在线观看视频| 日日摸夜夜添夜夜添av毛片 | 国产爱豆传媒在线观看| 欧美成人免费av一区二区三区| 亚洲一级一片aⅴ在线观看| 日日摸夜夜添夜夜添小说| 国产精品女同一区二区软件 | 熟女人妻精品中文字幕| 久久精品国产自在天天线| 精品一区二区三区av网在线观看| 深爱激情五月婷婷| 欧美区成人在线视频| 无人区码免费观看不卡| 成人国产麻豆网| 啦啦啦韩国在线观看视频| 校园人妻丝袜中文字幕| 永久网站在线| 最新在线观看一区二区三区| 免费电影在线观看免费观看| 午夜视频国产福利| 女人十人毛片免费观看3o分钟| 国产精品久久久久久久电影| 久久99热6这里只有精品| 色综合亚洲欧美另类图片| 国产大屁股一区二区在线视频| 成人三级黄色视频| 99在线人妻在线中文字幕| 真实男女啪啪啪动态图| 少妇丰满av| 午夜福利成人在线免费观看| 亚洲精品成人久久久久久| 在线看三级毛片| 男人舔奶头视频| 乱系列少妇在线播放| 国内少妇人妻偷人精品xxx网站| 能在线免费观看的黄片| av在线蜜桃| 嫁个100分男人电影在线观看| 九九在线视频观看精品| 最后的刺客免费高清国语| 女同久久另类99精品国产91| 中亚洲国语对白在线视频| 亚洲av二区三区四区| 性色avwww在线观看| 精品一区二区三区视频在线观看免费| 99久久精品国产国产毛片| 两个人的视频大全免费| 一进一出抽搐动态| 欧美+亚洲+日韩+国产| 麻豆精品久久久久久蜜桃| 国产午夜精品久久久久久一区二区三区 | 国产高清视频在线播放一区| 99精品久久久久人妻精品| 精品人妻偷拍中文字幕| 美女 人体艺术 gogo| 亚洲精品一区av在线观看| 欧美色欧美亚洲另类二区| 色在线成人网| 婷婷丁香在线五月| 18禁黄网站禁片免费观看直播| 亚洲内射少妇av| 成人精品一区二区免费| 欧美日韩乱码在线| 国产精品1区2区在线观看.| 一本一本综合久久| 久久欧美精品欧美久久欧美| 国产亚洲欧美98| 亚洲精品成人久久久久久| 精品99又大又爽又粗少妇毛片 | 亚洲成a人片在线一区二区| 亚洲精品成人久久久久久| 国产在视频线在精品| АⅤ资源中文在线天堂| 日韩在线高清观看一区二区三区 | 亚洲第一电影网av| 国产一区二区在线观看日韩| 久久精品国产亚洲av天美| 美女黄网站色视频| 日韩大尺度精品在线看网址| a级毛片免费高清观看在线播放| 欧美日本视频| 美女xxoo啪啪120秒动态图| 日韩,欧美,国产一区二区三区 | 女的被弄到高潮叫床怎么办 | 色尼玛亚洲综合影院| 亚洲精品色激情综合| 日日摸夜夜添夜夜添小说| 国产精品女同一区二区软件 | 国产精品女同一区二区软件 | 国产精品久久视频播放| 国产极品精品免费视频能看的| 国产美女午夜福利| 日日啪夜夜撸| 婷婷丁香在线五月| 91麻豆精品激情在线观看国产| 免费人成在线观看视频色| 俄罗斯特黄特色一大片| 亚洲国产精品合色在线| 欧美zozozo另类| 麻豆成人av在线观看| 国产视频内射| 长腿黑丝高跟| av福利片在线观看| 久久久国产成人精品二区| 99在线人妻在线中文字幕| 黄色日韩在线| 中文字幕精品亚洲无线码一区| 99热网站在线观看| 成人亚洲精品av一区二区| 亚洲自偷自拍三级| 两性午夜刺激爽爽歪歪视频在线观看| 97热精品久久久久久| 日本与韩国留学比较| 国产探花在线观看一区二区| 一个人免费在线观看电影| 日本免费一区二区三区高清不卡| 蜜桃亚洲精品一区二区三区| 色综合站精品国产| h日本视频在线播放| 麻豆av噜噜一区二区三区| 变态另类丝袜制服| 精品不卡国产一区二区三区| 色视频www国产| 麻豆国产97在线/欧美| 熟女电影av网| 99久国产av精品| 国产国拍精品亚洲av在线观看| 麻豆成人av在线观看| 婷婷丁香在线五月| 男女边吃奶边做爰视频|