A Novel Prediction Method of Dynamic Wall Pressure for Silos Based on Support Vector Machine by Hanhua Yu, Zhijun Xu, Tingting Liu, Fang Yuan

“…The distribution of dynamic wall pressure during silo discharge is quite complicated. Considering the nonlinear relationship between the factors which affect the dynamic lateral pressure of silos, a prediction method of dynamic wall pressure for silos based on support vector machine (SVM) is proposed here, and furthermore, the modified grid search method (GSM) is incorporated in obtaining the optimal support vector machine parameters to improve the accuracy of the prediction. …”
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Study on energy saving strategy and Nash equilibrium of base station in cognitive radio network by Xiao-tong MA, Shun-fu JIN, Jian-ping LIU, Zhan-qiang HUO

“…From the perspective of economics, a profit function was constructed and a nonlinear optimization algorithm was designed to investigate the Nash equilibrium and the socially optimal behavior of the secondary user packets, then a pricing policy of licensed spectrum for secondary users was formulated. …”
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Butterfly Distribution of Relativistic Electrons Driven by Parallel Propagating Lower Band Whistler Chorus Waves by S. Saito, Y. Miyoshi

“…The results show that two nonlinear scattering processes, which are the phase trapping and the dislocation process, contribute to the formation of the butterfly distribution within a minute. …”
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Dynamic processes during accretion into a black hole by G. S. Bisonvatyi-kogan

“…Sources of turbulence in the accretion disc are discussed, including nonlinear hydrodynamic turbulence, convection and magnetic filed role. …”
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MIMO With 1-b Pre/Postcoding Resolution: A Quantum Annealing Approach by Ioannis Krikidis

“…To further improve the efficiency of the D-WAVE quantum device, a new preprocessing technique, which preserves the quadratic QUBO matrix from the detrimental effects of the Hamiltonian noise through nonlinear companding, is proposed. The proposed preprocessing technique significantly improves the quality of the D-WAVE solutions as well as the occurrence probability of the optimal solution.…”
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The Supply Chain Triangle: How Synchronisation, Stability, and Productivity of Material Flows Interact by Florian Klug

“…These models allow us to take into account the nonlinear, dynamical interactions of different supply chain echelons and to test synchronised and stable flow with respect to its potential impacts. …”
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Frequency Diverse Array Target Localization Based on IPSO-BP by Qinghua Liu, Kai Ding, Bingsen Wu, Quanmin Xie

“…The improved particle swarm optimization (IPSO) algorithm with nonlinear weights is developed to optimize the neural network weights and biases to prevent BP neural network from easily falling into local minimum points. …”
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An Improved Differential Evolution Solution for Software Project Scheduling Problem by A. C. Biju, T. Aruldoss Albert Victoire, Kumaresan Mohanasundaram

“…It is also capable of handling nondifferentiable, nonlinear, and multimodal objective functions like SPSP. …”
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Higher-Order Expansions for Estimators in the Presence of Nuisance Parameters by Paul Rilstone

“…Higher-order asymptotic methods for nonlinear models with nuisance parameters are developed. …”
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Development of Single-Longitudinal-Mode Selection Technology for Solid-State Lasers by Xuanpu Zhang, Zhihan Wang, Shi Liu, Siyu Gou, Rong Fan, Duo Jin, Zhenao Bai, Zhenxu Bai

“…Lasers with narrow linewidths and single frequencies are widely used in fields such as radar detection, nonlinear optics, and precision measurements. The demand for such lasers has promoted the rapid development of single-longitudinal-mode (SLM) selection technology. …”
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Autonomous Orbit Determination for Lagrangian Navigation Satellite Based on Neural Network Based State Observer by Youtao Gao, Tanran Zhao, Bingyu Jin, Junkang Chen, Bo Xu

“…In order to improve the accuracy of the dynamical model used in the orbit determination of the Lagrangian navigation satellites, the nonlinear perturbations acting on Lagrangian navigation satellites are estimated by a neural network. …”
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Machine Learning Approach: Prediction of Surface Roughness in Dry Turning Inconel 625 by A. S. Rajesh, M. S. Prabhuswamy, M. Rudra Naik

“…Furthermore, the estimation of surface roughness is carried out using a machine learning-based model-feed forward (nonlinear autoregressive network) NARX network, and the evaluated surface roughness is compared with the values predicted by the regression model and experimental results. …”
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Stability Analysis for Viral Infection Model with Multitarget Cells, Beddington-DeAngelis Functional Response, and Humoral Immunity by Xinxin Tian, Jinliang Wang

“…The incidence rate of infection is given by nonlinear incidence rate, Beddington-DeAngelis functional response. …”
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Stability Analysis of Regular and Chaotic Ca2+ Oscillations in Astrocytes by Min Ye, Hongkun Zuo

“…Then, we investigate the effectiveness and the accuracy of our nonlinear dynamical mechanism analysis via computer simulations. …”
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Analysis of Free Pendulum Vibration Absorber Using Flexible Multi-Body Dynamics by Emrah Gumus, Atila Ertas

“…In this paper, the beam-tip mass-free pendulum structure is treated as a flexible multibody dynamic system and the ANCF formulation is used to demonstrate the coupled nonlinear dynamics of a large deflection of a beam with an appendage consisting of a mass-ball system. …”
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Modeling and analysis of a simple manufacturing-oriented multi-agent system by P. Levi, M. Schanz, V. Avrutin

“…In order to develop appropriate tools for this task, the dynamic behaviour of the system is investigated using concepts and methods of synergetics and the theory of nonlinear dynamical systems.…”
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Modeling and Analysis of Vehicle Shimmy with Consideration of the Coupling Effects of Vehicle Body by Xiaogao Li, Ning Zhang, Xianjian Jin, Nan Chen

“…According to the eigenvalue loci of system’s Jacobian matrix plotted on the complex plane, the Hopf bifurcation characteristics of nonlinear shimmy are studied and the conditions for the generation of limit cycle are analyzed. …”
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Simulation Analysis of Churning Loss of Internal Cavity Structure of Gearbox based on MPS Method by Dong Guo, Dongyuan Luo, Fangchao Chen

“…The analysis results show that the churning loss has a non-linear positive correlation with the axial clearance，but when the axial clearance reaches a certain value，it has almost no effect on the churning loss； it has a nonlinear negative correlation with the radial clearance，and as the radial clearance increases，its downward trend becomes smaller； the oil baffle and oil collecting groove structure can reduce the churning loss，and with the increase of its length，the effect becomes more significant； the streamlined cavity and the arc-shaped cavity increase the churning loss to a certain extent.…”
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Investigating grouting body nonuniform expansion in anisotropic underground soil mechanics by Bosong Ding, Ping Lou, Can Huang, Weihang Li, You Wang

“…Given the complexities of soil interactions, particularly under variable geological conditions, this approach incorporates nonlinear behaviors and empirical field data to improve accuracy. …”
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Condition Monitoring of Gearbox based on Statistical Linguistic Analysis of Time Series by Lin Jinshan, Kou Xinglei, Dou Chunhong, Liu Bingqiang

“…The vibration data from defective gearboxes generally exhibit non- stationary and nonlinear property. As a result,it seems hard to effectively monitor the running status of gearbox by using the conventional time domain statistical parameters method which is based on stationary and linear theory. …”
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