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Tian and S.
Yang: Chem.
Tian and S.
Tian: J.

Tian et al [4] and Wen et al [5] respectively investigated the energy dissipation of mixed vehicles based on cellular automaton NS and FI model.
Yang: Physica A Vol. 387 (2008), p. 4657 [4] H.
Tian, Y.
Tian, S.

Tian and S.J.
Yang: Chem.
Tian: Chem.
Tian, B.Z.

The Time Sequence of Space Dynamic Development Analysis Based on the Possibility of Construction Behavior Evaluation Xiaorong Zhang 1, a, Degang Duan 2,b, Tao Tian 3,c 1 Xi’an University of Architecture and Technology, P.O.
References [1] Degang Duan, Tao Tian, The time sequence of space dynamic development analysis for small towns based on the sensitivity of construction land, Urban Planning, 2010(10) [2] Degang Duan, Huangbo Yang, Xiaorong Zhang., The sensitivity research of urban construction land, Urban Planning, 2010(04) [3] Minghua Huang, Yang Wang, Bu Yin, The thinking caused by completed full-coverage regulatory, Urban Planning Forum, 2009(06) [4] Bingzhao Chen, The facing problems and the development trend of urban planning for our country, Urban-Rural Development , 2001(12)

Tian, G.
Tian, K.
Yang, H.
Yang, T.
Yang, G.

Study on a structure of 2,6-pyridine-dicarboxylic acid Mn, Mn2(C7H3NO4)24H2O Hai-Xing Liua, Qing-Hua Zhangb, Zhang-Xue Yuc, Xiao-Ping Zhangd, Yang Xue, Quan-Hua Fanf, Ting-Ting Huangg Chemistry & Chemical and Environmental Engineering College, Weifang University, Weifang 261061, P.R.
Tian, M.
Tian, M.

Tian, H.Liu, and Y.
Tian, Biosens.
Yang, and Z.
Yang, G.
Yang, D.

Stability Studies of Tailings Dam Based on the Geo–Studio SONG Zhi-fei1,a, TIAN Bo1,b ,WANG Qun1,c 1No.5 Jin yuan zhuang Road, Shi jing shan District, Beijing.China asong59672@163.com, b354892085@qq.com,c2409436336@qq.com Keywords: Tailings dam.
[6] SUN Shi-guo, YANG Hong, Slope stability analysis and design[M], THE typical control technology of mine slope stability 2011:1-9
[7] TIAN Wen-qi, CHEN Shou-ren, The specification of Tailings facilities design [M], Housing and urban-rural development department of the People's Republic of China GB50863-2013[M] 2013,6:14.-15

Prediction of Mechanical Properties of Iron and Steel Based on the Quantile Model of Generalized Radial Basis Neural Network Tian Tong and Huang Siyu College of Science, Wuhan University of Science and Technology, Wuhan 430065, Hubei Province, People’s Republic of China tiantong@wust.edu.cn; huangsiyu@wust.edu.cn Keywords: Generalized radial basis neural network model, hot rolled strip, tensile strength Abstract.
Semi-parametric single index model based approach was proposed for prediction of mechanical properties of hot rolled strip by Zhao, Yang et al[4], when data samples were limited, compared with regression method and neural network method, the prediction results showed that the semi-parametric single-index model based method was more adaptive and the prediction performance was superior to both regression and neural network methods.
Aiming at the high locating error and the underutilization of redundancy bearing measurement in Pyroelectric Infrared Sensor (PIR) location system, a novel method of bearing location based on Radial Basis Function Neural Network (RBFNN) was presented by Wang and Tian[9], the result of simulation showed that the neural network model had 18% higher locating accuracy and the locating error was much less than the geometric algorithm when the target was near the boundary of the detecting area.
Y.H, Yang.
Z.H and Tian.

Tian and S.J.
Yang: Chem.
Tian: Journal of Mathematical Chemistry.
Tian: Chem.