many efforts have been made to model the the hot deformation (dynamic recrystallization) flow curves of different materials. phenomenological constitutive models, physical-based constitutive models and artificial neural network (ann) models are the main methods used for this purpose. however, there is no report on the modeling of warm deformation (dynamic spheroidization) flow curves of any kin...

Abstract A prediction algorithm for traffic flow prediction of BP neural based on Differential Evolution (DE) is proposed to overcome the problems such as long computing time and easy to fall into local minimum by combing DE and neural network. In the algorithm, DE is used to optimize the thresholds and weights of BP neural network, and the BP neural network is used to search for the optimal so...

The objective of this study was to apply an improved Group Method of Data Handling (GMDH) network model for prediction of debris flow by integrating dynamic rainfall data and environmental factors. The rainfall data were collected from weather information, and the environmental data were extracted from RS, GIS, drilling data, and geophysical data. The input variables used in the SAGA-GMDH model...

background: peak expiratory flow rate (pefr) is recommended as a tool for control of asthma. the purpose of this study was to determine the normal value of pefr in the healthy high school children in babol, iran. methods: this study was conducted on 470 healthy high school children (285 girls, 185 boys with the age between 14-18 years). for the determination of pefr we used mini wright peak flo...

flow unit characterization plays an important role in heterogeneity analysis and reservoir simulation studies. usually, a correct description of the lateral variations of reservoir is associated with uncertainties. from this point of view, the well data alone does not cover reservoir properties. because of large well distances, it is difficult to build the model of a heterogenic reservoir, but ...

in the current study, five different atomistic water models (awms) are implemented, in order to investigate the impact of awms treatment on the water velocity profile and density number. for this purpose, molecular dynamics simulation (mds) of poiseuille flow in a nano-channel is conducted. considered awms are spc/e, tip3p, tip4p, tip4pfq and tip5p. to assessment of the ability of each model in...