نتایج جستجو برای: multi step precipitation

تعداد نتایج: 766772  

2015
Amir AghaKouchak

The 2011 East Africa drought caused dire situations across several countries and led to a widespread and costly famine in the region. Numerous dynamic and statistical drought prediction models have been used for providing drought information and/or early warning. The concept of Ensemble Streamflow Prediction (ESP) has been successfully applied to univariate drought indicators (e.g., the Standar...

2012
Bostjan Kaluza Gal A. Kaminka Milind Tambe

In many multiagent domains, no single observation event is sufficient to determine that the behavior of individuals is suspicious. Instead, suspiciousness must be inferred from a combination of multiple events, where events refer to the individual’s interactions with other individuals. Hence, a detection system must employ a detector that combines evidence frommultiple events, in contrast to mo...

Journal: :iranian journal of science and technology (sciences) 2015
s. m. hosseini harat

in this study, a new efficient semi-analytical method is introduced to give approximate solutions of strongly nonlinear oscillators. the proposed method is based on combination of two different methods, the multi-step homotopy analysis method and spectral method, called the multi-step spectral homotopy analysis method (msham). in this method, firstly, we propose a new spectral homotopy analysis...

Journal: :مرتع و آبخیزداری 0
ام البنین بذرافشان استادیار دانشکدة منابع طبیعی دانشگاه هرمزگان علی سلاجقه دانشیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران احمد فاتحی مرج استادیار مرکز تحقیقات کم آبی و خشک سالی در کشاورزی و منابع طبیعی، تهران محمد مهدوی استاد دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران جواد بذرافشان استادیار دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران سمیه حجابی دانشجوی دکتری دانشکدة کشاورزی و منابع طبیعی دانشگاه تهران

drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

Journal: :computational methods for differential equations 0
abolfazl tari marzabad department of mathematics-shahed university-tehran-iran. seyed musa torabi department of mathematics-shahed university-tehran‎- ‎iran

‎‎‎in this paper‎, ‎we develop multi-step methods to solve a class of two-dimensional nonlinear volterra integral equations (2d-nvies) of the first kind‎. ‎here‎, ‎we convert a 2d-nvie of the first kind to a one-dimensional linear vie of the first kind and then we solve the resulted equation numerically by multi-step methods‎. ‎we also verify convergence and error analysis of the method‎. ‎at t...

Journal: :Journal of High Energy Physics 2015

Journal: :Current opinion in behavioral sciences 2021

Decisions in the natural world are rarely made isolation. Each action that an organism selects will affect future situations which it finds itself, and those turn actions available. Achieving real-world goals often requires successfully navigating a sequence of many actions. An efficient flexible way to achieve such is construct internal model environment, use plan behavior multiple steps into ...

In this paper new implicit higher order accuracy (N-IHOA) time integration based on assumption of constant time step is presented for dynamic analysis. This method belongs to the category of the multi time step integrations. Here, current displacement and velocity are assumed to be functions of the velocities and accelerations of several previous time steps, respectively. This definition causes...

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