Performance Evaluation of Laboratory Management System Based on BP Neural Network by Anjie Su, Zhigang Wu, Yifeng Yin

“…The BP neural network has strong nonlinear mapping, self-learning, and self-adaptive abilities. …”
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Numerical simulation of the de-bonding phenomenon of FRCM strengthening systems by Ernesto Grande, Maura Imbimbo, Sonia Marfia, Elio Sacco

“…In particular, in the first part of the paper a nonlinear shear-stress slip law characterized by a brittle post-peak behavior with a residual shear strength in the post peak phase is introduced for either the lower reinforcement-mortar interface (approach 1) or both the lower and the upper interface (approach 2). …”
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PREDICTION AND DAMAGE ANALYSIS OF THE POSTBUCKLING FOR MULTI-SPAR COMPOSITE BOX by YUAN Fei, CHAI YaNan, ZHANG AYing

“…Aiming at the buckling and postbuckling problems,buckling behavior and damage process of multi-spar composite box under bending-shearing load is researched in this paper. A self-defined nonlinear degradation rule was presented to simulate the propagation of the interface elements which were discretized with solid elements. …”
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Study on Fatigue Performance of Nylon Worm Gear Under Multiple Working Condition based on RecurDyn by Jianfei Chen, Fan Yang, Shulin Wang

“…The main failure mode in automobile steering system is the bending fatigue failure of the tooth root of nylon worm gear， based on Hertz contact theory and incremental finite element method based on corotational coordinate method， the worm and worm gear nonlinear transient dynamics model is built in multibody dynamics software RecurDyn， and according to the test requirements of loading conditions， the stress analysis and fatigue life analysis is carried out in the software， the nylon worm gear tooth root in each loading condition of transient stress value can be accurately got， then the nylon worm gear fatigue life in the corresponding time process is studied. …”
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An exact approach to calibrating infectious disease models to surveillance data: The case of HIV and HSV-2 by David J. Gerberry

“…The technique is able to match surveillance data to high accuracy in a very efficient manner as it is based on the Newton-Raphson method for solving nonlinear systems. To demonstrate its robustness, we use the calibration technique on multiple models for the interacting dynamics of HIV and HSV-2.…”
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Construction and application of a quantitative efficiency assessment model for green AI in intelligent customer service systems by MA Xiaoliang, LIU Ying, ZHAO Ruqiang, YANG Bangxing, GAO Jie, DENG Congjian

“…Furthermore, by employing the nonlinear least squares method, model parameters were derived. …”
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Differential Calculus on N-Graded Manifolds by G. Sardanashvily, W. Wachowski

“…This fact enables us to extend the differential calculus on N-graded manifolds to formalism of nonlinear differential operators, by analogy with that on smooth manifolds, in terms of graded jet manifolds of N-graded bundles.…”
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Investigation of Mode I fracture toughness of red Verona marble after thermal treatment by Daniela Scorza, Andrea Carpinteri, Giovanni Fortese, Sabrina Vantadori, Daniele Ferretti, Roberto Brighenti

“…Such a method is able to take into account the slow nonlinear crack growth occurring before the peak load, typical of quasi-brittle materials, with the advantage of easy specimen preparation and simple test configuration. …”
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CFA-Based Splicing Forgery Localization Method via Statistical Analysis by Lei Liu, Peng Sun, Yubo Lang, Jingjiao Li

“…However, interpolation algorithms commonly used in digital cameras are nonlinear, and their coefficients vary with content to enhance edge information. …”
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Modeling and Analysis of Unsteady Casson Fluid Flow due to an Exponentially Accelerating Plate with Thermal and Solutal Convective Boundary Conditions by Mehari Fentahun Endalew, Subharthi Sarkar

“…The scientific community will benefit greatly from this work since the findings can serve as benchmark solutions using numerical approaches to solve fully nonlinear flow governing problems.…”
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Fault Diagnosis of Gearbox Multi-channel Vibration Signal based on Improved Multivariate Multiscale Dispersion Entropy by Fuming Zhou, Jinxing Shen, Xiaoqiang Yang, Wuqiang Liu, Xiaolin Liu

“…When the gearbox fails， its vibration signal is unstable and nonlinear. The commonly applied gearbox fault diagnosis methods are almost all based on the single-channel vibration signal analysis，which is easy to cause the loss of fault information，so the practicality in industrial production is limited. …”
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Research of Lurication Characteristic of Mechanical Parts in Higher Pair Contact based on Longitudinal Roughness Texture by Feng Nan, Qi Xiumei, Gao Chuangkuan

“…With the help of the nonlinear Fourier transform,the measured data is used to form a roughness function which is then added to the oil film thickness equation and a model of mixed Elastohydrodynamic lubrication for a pair of mechanical parts in higher pair contact is established. …”
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Fault Diagnosis of Gearbox based on Multi-fractal and PSO-SVM by Li Sha, Pan Hongxia, Zhang Jundong, Zhao Weiwei

“…Aiming at the non-stationary and nonlinear of gearbox vibration signals,a fault diagnosis method based on the multi-fractal and particle swarm optimization support vector machine（PSO-SVM）is put forward.Firstly,the fractal filter with short-time fractal dimension as fuzzy control parameters is used to filtering noise reduction the gearbox vibration signals with bigger background noises.Secondly,the multi-fractal spectrum algorithm is applied to analyze the signal after filtering,the results show that the characteristic parameters:Δa（q）、f（a（q））maxand box dimensions Dbcan give a good presentation for gearbox working condition.Finally,the particle swarm optimization（PSO）is applied to optimize the parameters of support vector machine（SVM）.Taking the multi-fractal characteristic vectors as input parameters of PSO-SVM and SVM to recognize the fault types of the gearbox.The results show that SVM based on particle swarm optimization can improve the classification accuracy.Meanwhile,the validity of gearbox fault diagnosis based on muti-fractal and PSO-SVM is proved.…”
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Numerical Investigation of Carbon Fiber Reinforced Polymer Confined Concrete-Filled Steel Tube Columns under Eccentric Load by Brhanu Degefa Zewdu, Temesgen Wondimu Aure

“…This study presents a nonlinear finite element (FE) investigation of the effects of the thickness of Carbon Fiber Reinforced Polymer (CFRP), the thickness of steel tube, cross-sectional shape, and slenderness effect of an FRP confined concrete-filled steel tube (FCCFST) column under eccentric load. …”
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RESEARCH ON SENSOR TEMPERATURE COMPENSATION SYSTEM BASED ON IMPROVED RBF NEURAL NETWORK by SONG RuiJuan

“…Considering the current temperature compensation method is used to establish the temperature compensation model using intelligent algorithm,and use swarm intelligent optimization algorithm to optimize and improve the compensation precision,has good compensation effect for nonlinear sensor temperature drift,but for the low efficiency of this method has good linearity,and the use of linear least squares fitting method the routine can get better compensation effect,so this will be the least squares fitting method and RBF neural network model integration,a model of temperature compensation of pressure sensor,using ant colony algorithm to optimize the conventional RBF neural network,improve the performance of compensation model. …”
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Estimation of stationary and non-stationary moving average processes in the correlation domain. by Martin Dodek, Eva Miklovičová

“…This enables the derivation of a system of nonlinear equations to be solved for estimating the model parameters. …”
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EFFECTS OF FLEXIBLE SUPPORTING STRUCTURE AND WIND LOADS ON YAW BEARING’S LOAD DISTRIBUTION by DU Jing, GONG JiaYi, YANG XianGang

“…Subsequently,the Hertz contact model was adopted to validate the nonlinear contact of the ball to raceway. Finally,the effects of varying stiffness of the restraint system,tower wind load and other factors on the performance of the bearing load distribution were discussed. …”
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Synchronous Reluctance Motor: Dynamical Analysis, Chaos Suppression, and Electronic Implementation by Balamurali Ramakrishnan, Andre Chéagé Chamgoué, Hayder Natiq, Jules Metsebo, Alex Stephane Kemnang Tsafack

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Neural Network Based Adaptive Backstepping Control for Electro-Hydraulic Servo System Position Tracking by Zhenshuai Wan, Longwang Yue, Yu Fu

“…The backstepping control is used to eliminate mismatched nonlinear terms and stabilize the system. The dynamic surface control (DSC) is adopted to handle the “explosion of complexity” problem of backstepping method and reduce the computational burden. …”
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Large dynamic range microwave photonics mixing system based on parallel DPMZM by Yongsheng GAO, Fangjing SHI, Jiajun TAN, Yangyu FAN

“…To solve the problems of nonlinear distortion and limited dynamic range of microwave photonics mixing system, a large dynamic range microwave photonics mixing system based on parallel dual parallel Mach-Zehnder modulator (DPMZM) was proposed.The parallel modulation of radio frequency and local oscillator signals was realized by using DPMZM.The third-order intermodulation distortion (IMD3) in the output intermediate frequency signal was eliminated by configuring the electro-optic modulation index of the two parallel channels and the working point of the modulators.Finally, the dynamic range of the system was improved.Simulation results show that the proposed scheme can suppress IMD3 by 17.7 dB and increase the SFDR to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mn>127.8</mn><mtext> dB</mtext><mo>·</mo><msup> <mtext>Hz</mtext> <mrow> <mfrac> <mn>4</mn> <mn>5</mn> </mfrac> </mrow> </msup> </math></inline-formula> .…”
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