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Journal Article 8

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ANSYS/LS-DYNA 1

Adaptive neuro-fuzzy inference system (ANFIS) 1

Artificial neural network (ANN) 1

Blood pressure (BP) 1

Divided charge 1

Forward stepwise regression 1

LS-DYNA 1

Least squares support vector machine (LS-SVM) 1

Moderate long hole bench blasting 1

Numerical simulation 1

Principal component analysis (PCA) 1

RC column 1

blast load 1

coupled vibration 1

critical load 1

feed system 1

frequency response 1

game theory 1

industrial production 1

least square method 1

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Numerical simulation of blasting effect with divided charge structure

Hu Tao ,Li Xianglong,Guan Si ,He Lihua

Strategic Study of CAE 2014, Volume 16, Issue 11, Pages 36-41

Abstract: charge and divided charge in blasting by using the large-scale nonlinear dynamic analysis software LS-DYNA

Keywords： Moderate long hole bench blasting Divided charge ANSYS/LS-DYNA Numerical simulation

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Large deflection behavior effect in reinforced concrete columns exposed to extreme dynamic loads

Masoud ABEDINI, Azrul A. MUTALIB, Chunwei ZHANG, Javad MEHRMASHHADI, Sudharshan Naidu RAMAN, Roozbeh ALIPOUR, Tohid MOMENI, Mohamed H. MUSSA

Frontiers of Structural and Civil Engineering 2020, Volume 14, Issue 2, Pages 532-553 doi: 10.1007/s11709-020-0604-9

Abstract: The numerical model is based on finite element analysis using LS-DYNA.

Keywords： RC column scaled distance blast load LS-DYNA

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Identification of thermal error in a feed system based on multi-class LS-SVM

Chao JIN, Bo WU, Youmin HU, Yao CHENG

Frontiers of Mechanical Engineering 2012, Volume 7, Issue 1, Pages 47-54 doi: 10.1007/s11465-012-0307-6

Abstract: Using multi-class least squares support vector machines (LS-SVM), the thermal positioning error of the

Keywords： least squares support vector machine (LS-SVM) feed system thermal error precision machining

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Prediction of vibration response of powerhouse structures based on LS-SVM optimized by PSO

Lian Jijian,He Longjun,Wang Haijun

Strategic Study of CAE 2011, Volume 13, Issue 12, Pages 45-50

Abstract: and powerhouse,and then the vibration response forecasting model of the powerhouse is built based on LS-SVM

Keywords： powerhouse coupled vibration particle swarm optimization algorithm least squares support vector machines response prediction

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Load shedding scheme for the two-area system with linear quadratic regulator

D. TYAGI, Ashwani KUMAR, Saurabh CHANANA

Frontiers in Energy 2013, Volume 7, Issue 1, Pages 90-102 doi: 10.1007/s11708-012-0224-8

Abstract: In order to avoid power system collapse, load shedding (LS) schemes are adopted with the optimal amountThe LS steps have been obtained based on the rate of change of frequency with the increase in load in

Keywords： critical load frequency response load shedding (LS) multi-area system rate of change of frequency linear

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Modified Performance Index Method for Parameter Estimation for Industrial Process with Time-varying

Zhang Chenghui

Strategic Study of CAE 2001, Volume 3, Issue 11, Pages 54-59

Abstract:

A new estimation method based on modified performance index is proposed for time-varying process to avoid the ill-condition of least squares method. Based on the new method,a series of new recursive algorithms such as the new recursive least squares algorithm,the instrumental variable algorithm are constructed. The new identification method can ease the ill-condition and improve the identification accuracy without using the additional signals. Moreover, without additional computation,it is suitable for engineering practice very much. Both simulation results and practical operation show the new identification algorithm is effective. In this paper, the justification of this modified algorithm is proved.

Keywords： parameter estimation method of calculation least square method time-varying system industrial production

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Timing decision-making method of engine blades for predecisional remanufacturing based on reliability analysis

Le CHEN, Xianlin WANG, Hua ZHANG, Xugang ZHANG, Binbin DAN

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 4, Pages 412-421 doi: 10.1007/s11465-019-0551-0

Abstract: A timing decision-making method for predecisional remanufacturing is presented. The method can effectively solve the uncertainty problem of remanufacturing blanks. From the perspective of reliability, this study analyzes the timing decision-making interval for predecisional remanufacturing of mechanical products during the service period and constructs an optimal timing model based on energy consumption and cost. The mapping relationships between time and energy consumption are predicted by using the characteristic values of performance degradation of products combined with the least squares support vector regression algorithm. Application of game theory reveals that when the energy consumption and cost are comprehensively optimal, this moment is the best time for predecisional remanufacturing. Used engine blades are utilized as an example to demonstrate the validity and effectiveness of the proposed method.

Keywords： predecisional remanufacturing reliability least squares support vector regression (LS-SVR) game theory

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Using hybrid models to predict blood pressure reactivity to unsupported back based on anthropometric characteristics

Gurmanik KAUR,Ajat Shatru ARORA,Vijender Kumar JAIN

Frontiers of Information Technology & Electronic Engineering 2015, Volume 16, Issue 6, Pages 474-485 doi: 10.1631/FITEE.1400295

Abstract: (ANN), adaptive neuro-fuzzy inference system (ANFIS), and the least squares support vector machine (LS-SVMperformance of the constructed models, using appropriate statistical indices, shows clearly that a PCA-based LS-SVM(PCA-LS-SVM) model is a promising approach for the prediction of BP reactivity in comparison to others

Keywords： network (ANN) Adaptive neuro-fuzzy inference system (ANFIS) Least squares support vector machine (LS-SVM