نتایج جستجو برای: nonlinear train model

تعداد نتایج: 2284754  

Journal: :مهندسی صنایع 0
مسعود یقینی iran university of science and technology علی محمدزاده iran university of science and technology

considering the large amount of investment in railway transportation systems, effective use of resources is highly important. typically, in order to utilize the line capacity, train scheduling plays a substantial role and thus attracts lots of attention all over the world. various train-scheduling models are introduced, according to different conditions of different countries. however, for iran...

Journal: :Infrastructures 2021

A bridge approach, an essential component connecting a relatively rigid and more flexible track on subgrade soil, is one of the most common types transition zones. The tracks deck often undergo significantly lower deformations under loading compared to approach tracks. Even though there have been numerous efforts understand remediate performance deficiencies emerging from differences in stiffne...

Support Vector Machine (SVM) is one of the important classification techniques, has been recently attracted by many of the researchers. However, there are some limitations for this approach. Determining the hyperplane that distinguishes classes with the maximum margin and calculating the position of each point (train data) in SVM linear classifier can be interpreted as computing a data membersh...

Farhad S. Samani, Moslem Molaie Nadia Parandeh Afshar

Recently, a large amount of studies have been related to nonlinear systems with multi-degrees of freedom as well as continuous systems. The purpose of this paper is to optimize passive vibration absorbers in linear and nonlinear states for an Euler-Bernoulli beam with a nonlinear vibratory behavior under concentrated moving load. The goal parameter in the optimization is maximum deflection of t...

Journal: :international journal of mathematical modelling and computations 0
j. mondal department of mathematics,indian institute of engineering science and technology, p. o. botanical garden, howrah - 711103, west bengal, india; k. dhar department of mathematics,iiest, howrah - 711103, west bengal, india.

asymptotically exact and nonlocal fourth order nonlinear evolution equations are derived for two coupled fourth order nonlinear evolution equations have been derived in deep water for two capillary-gravity wave packets propagating in the same direction in the presence of wind flowing over water.we have used a general method, based on zakharov integral equation.on the basis of these evolution eq...

2014
Huimin Niu Minghui Zhang Wuhong Wang

The most important operating problem for intercity rail lines, which are characterized with the train operations at rapid speed and high frequency, is to design a service-oriented schedule with the minimum cost. This paper proposes a phase-regular scheduling method which divides a day equally into several time blocks and applies a regular train-departing interval and the same train length for e...

Journal: :journal of computational & applied research in mechanical engineering (jcarme) 2015
nadia parandeh afshar farhad s. samani moslem molaie

recently, a large amount of studies have been related to nonlinear systems with multi-degrees of freedom as well as continuous systems. the purpose of this paper is to optimize passive vibration absorbers in linear and nonlinear states for an euler-bernoulli beam with a nonlinear vibratory behavior under concentrated moving load. the goal parameter in the optimization is maximum deflection of t...

2017
Anqi Wu Nicholas G. Roy Stephen Keeley Jonathan W. Pillow

A large body of recent work focuses on methods for extracting low-dimensional latent structure from multi-neuron spike train data. Most such methods employ either linear latent dynamics or linear mappings from latent space to log spike rates. Here we propose a doubly nonlinear latent variable model that can identify low-dimensional structure underlying apparently high-dimensional spike train da...

2011
Ming-Syan Chen Keng-Pei Lin

Training support vector machines (SVMs) with nonlinear kernel functions on large-scale data are usually very timeconsuming. In contrast, there exist faster solvers to train the linear SVM. We propose a technique which sufficiently approximates the infinite-dimensional implicit feature mapping of the Gaussian kernel function by a low-dimensional feature mapping. By explicitly mapping data to the...

Journal: :amirkabir international journal of electrical & electronics engineering 2015
m. torabian esfahani b. vahidi

an electric arc furnace (eaf) is known as nonlinear and time variant load that causes power quality (pq) problems such as, current, voltage and current harmonics, voltage flicker, frequency changes in power system. one of the most important problems to study the eaf behavior is the choice of a suitable model for this load. hence, in this paper, a probabilistic three-phase model is proposed base...

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