High-speed maglev train is considered an ideal vehicle in the 21st Century, as an important part of the train, the travel mechanism bears and delivers a variety of vertical and horizontal alternating load in operation, it affects the operation safety of the train directly, so key components of the travel mechanism should under fatigue strength test by fatigue test machine.The paper proposed a v...

High harmonic radiation, produced when intense laser pulses interact with matter, is composed of a train of attosecond pulses. Individual pulses in this train carry information on ultrafast dynamics that vary from one half-optical-cycle to the next. Here, we demonstrate an all-optical photonic streaking measurement that provides direct experimental access to each attosecond pulse by mapping emi...

Any endomorphism of a finitely generated free group naturally descends to an injective endomorphism of its stable quotient. In this paper, we prove a geometric incarnation of this phenomenon: namely, that every expanding irreducible train track map inducing an endomorphism of the fundamental group gives rise to an expanding irreducible train track representative of the injective endomorphism of...

By chopping 820 nm 18 femtosecond (fs)-laser pulses, continuously generated by a self-mode locked Ti:Al2O3 laser at 82 MHz, into trains with both train-width and train-to-train separation considerably longer than the thermal diffusivity time constant τth of CS2, we conducted Z-scan measurements on it at various times relative to the leading pulse of each train (T's). As a result, we observed ne...

Spiking oscillators with pulse-train input(s) exhibit interesting synchronous phenomena and have been studied intensively in various fields including nonlinear electric circuits and neural networks [1]-[3]. The analysis of such synchronous phenomena is important as basic nonlinear problems in the various fields. Also, the analysis is fundamental for understanding dynamics of pulse-coupled neura...

The adiabatic N-soliton train interactions for the scalar nonlinear Schrö-dinger (NLS) equation and its perturbed versions are well studied. Here we briefly outline how they can be generalized for the higher NLS-type equations and for the multicompo-nent NLS equations. It is shown that in all these cases the complex Toda chain plays fundamental role. 1. Introduction. In a number of applications...

Nonlinear system identification via Feedforward Neural Networks (FNN) and Digital Recurrent Network (DRN) is studied in this paper. The standard backpropagation algorithm is used to train the FNN. A dynamic backpropagation algorithm is employed to adapt weights and biases of the DRN. The neural networks are trained using the identified error between the model’s output and plant’s output. Result...

This paper presents a PID-like adaptive neuro-fuzzy inference system (ANFIS) controller that can be trained by the global-best harmony search (GHS) technique to control nonlinear systems. Instead of the hybrid learning methods that are widely used in the literature to train the ANFIS structure, the GHS technique alone is used to train the ANFIS as a feedback controller, and hence, the necessity...

A novel method for the identification and modeling of neural networks using experimental spike trains is discussed. The method assumes a reference model of interconnected deterministic integrate-and-fire neurons and fit the parameters of the model to the observed experimental spike trains. The identification provides the properties of the individual synapses and neurons, hence extracting the fu...