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Generalization and application in time series forecasting of the least square support vector machinemethod

Xiang Xiaodong

Strategic Study of CAE 2008, Volume 10, Issue 11,   Pages 89-92

Abstract: contains more future information than historical data in time-series,the paper extends the prediction methodof least square support vector machine and obtains a more general prediction model of least square supporttime-series show that the extended model is more effective.Therefore it improves the value of the prediction methodof least square support vector machine.

Keywords： least square support vector machine     generalization     time series     forecasting    

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The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Strategic Study of CAE 2004, Volume 6, Issue 4,   Pages 41-43

Abstract: Founding on physical mechanism, this paper presents a weighted least square method in which the weighThe calculating results show that the S-N curve which is gained by the least square method consideringof the confidence interval is more reliable and secure than the S-N curve which is gained by general leastsquare method.

Keywords： confidence interval     fatigue life     least square method     S-N curve    

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Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Frontiers in Energy 2016, Volume 10, Issue 1,   Pages 105-113 doi: 10.1007/s11708-016-0393-y

Abstract: the day-ahead electricity price forecasting using the artificial neural networks (ANN) and weighted leastsquare (WLS) technique in the restructured electricity markets.Another important advantage of the proposed WLS technique is that it is not an iterative method.

Keywords： day-ahead electricity markets     price forecasting     load forecasting     artificial neural networks     load serving entities    

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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 toavoid the ill-condition of least squares method.Based on the new method,a series of new recursive algorithms such as the new recursive least squaresThe new identification method can ease the ill-condition and improve the identification accuracy without

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

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System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Strategic Study of CAE 2012, Volume 14, Issue 11,   Pages 17-23

Abstract:

This paper presents a new method for the system identification of channelradius R, and deduce the linear model by means of the mathematical transformation to make use of the leastsquare method for the identification.

Keywords： channel     roughness     system identification     least square method    

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The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Strategic Study of CAE 2009, Volume 11, Issue 11,   Pages 79-81

Abstract: ">Focus on error control during fabricating and suspended splicing of box girders with segmentation methoderror reasons, and the combination with practical engineering—Sutong B2, it discussed control method, computing method and sensitive analysis method of linear control of prefabricated pre-stressed continuousbeam bridge assembly with short line method.

Keywords： geometry-control     error analysis     least square method     erection of the short-line method    

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LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 871-881 doi: 10.1007/s11709-022-0863-8

Abstract: In the work reported here, an analysis method based on the least square support vector machine (LSSVMevaluation indexes including coefficient of determination, mean absolute percentage error, and mean squareBased on the proposed LSSVM approach to determine the failure criterion, the limit equilibrium methodthat the maximum relative errors between the proposed approach and the linear failure criterion-based methodand the power-law failure criterion-based method are about 12% and 7%, respectively.

Keywords： slope stability     safety factor     failure criterion     least square support vector machine    

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A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Frontiers of Structural and Civil Engineering 2010, Volume 4, Issue 3,   Pages 302-310 doi: 10.1007/s11709-010-0026-1

Abstract: The polynomial acceleration method for time history analysis is presented, in which accelerations betweenWith a higher order polynomial used, a higher accuracy can be obtained, but the stability field of the methodfield and computational accuracy are taken into account at the same time, the quadratic acceleration methodIt is also shown that the quadratic acceleration method has desirable arithmetic damp, amplitude decay

Keywords： polynomial acceleration method     convergence     stability     square acceleration method    

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Optical plasma boundary reconstruction based on least squares for EASTTokamak None

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 9,   Pages 1124-1134 doi: 10.1631/FITEE.1700041

Abstract: However, this magnetic method still has some inevitable disadvantages.This method uses EFIT reconstruction results as the standard to create the optimally optical reconstructionIllumination in this method is robust.image plane to the Tokamak poloidal plane by a mathematical model, which is optimally resolved by using leastThe error between the method and EFIT is presented and the experimental results of different polynomial

Keywords： Optical boundary reconstruction     Boundary detection     Global contrast     Least square     EAST Tokamak    

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Learning deep IA bidirectional intelligence Personal View

Lei XU

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 558-562 doi: 10.1631/FITEE.1900541

Abstract: There has been a framework sketched for learning deep bidirectional intelligence. The framework has an inbound that features two actions: one is the acquiring action, which gets inputs in appropriate patterns, and the other is A-S cognition, derived from the abbreviated form of words abstraction and self-organization, which abstracts input patterns into concepts that are labeled and understood by self-organizing parts involved in the concept into structural hierarchies. The top inner domain accommodates relations and a priori knowledge with the help of the A-I thinking action that is responsible for the accumulation-amalgamation and induction-inspiration. The framework also has an outbound that comes with two actions. One is called I-S reasoning, which makes inference and synthesis (I-S) and is responsible for performing various tasks including image thinking and problem solving, and the other is called the interacting action, which controls, communicates with, and inspects the environment. Based on this framework, we further discuss the possibilities of design intelligence through synthesis reasoning.

Keywords： Abstraction     Least mean square error reconstruction (Lmser)     Cognition     Image thinking     Abstract thinking    

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Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification None

Muhammad Asif Zahoor RAJA, Muhammad Saeed ASLAM, Naveed Ishtiaq CHAUDHARY, Wasim Ullah KHAN

Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 2,   Pages 246-259 doi: 10.1631/FITEE.1601028

Abstract: systems using an evolutionary computing technique based on genetic algorithms (GAs) and interior-point methodStandard ANC systems are usually implemented with the filtered extended least mean square algorithm forThe design method is evaluated using an ANC model of a headset with sinusoidal, random, and complex random

Keywords： Active noise control (ANC)     Filtered extended least mean square (FXLMS)     Memetic computing     Genetic algorithms     Interior-point method    

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Existence of complete band gaps in 2D steel-water phononic crystal with square lattice

Cunfu HE, Huanyu ZHAO, Ruiju WEI, Bin WU

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 450-454 doi: 10.1007/s11465-010-0105-y

Abstract: band gaps in two-dimensional (2D) phononic crystal consisting of parallel steel rods in water with squareThe band structure of phononic crystal is calculated by a plane wave expansion (PWE) method.

Keywords： phononic crystal     plane wave expansion (PWE) method     experimental study    

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Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 2,   Pages 176-183 doi: 10.1007/s11465-010-0001-5

Abstract: balance separation technology for the giant magnetostrictive self-sensing actuator comes true by the leastmeans square (LMS) self-adapting algorithm.

Keywords： giant magnetostrictive material (GMM) self-sensing actuator     least means square (LMS) self-adapting algorithm    

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Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft computing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Frontiers of Structural and Civil Engineering 2019, Volume 13, Issue 6,   Pages 1379-1392 doi: 10.1007/s11709-019-0562-2

Abstract: To date, very few researchers employed the Least Square Support Vector Machine (LSSVM) in predicting

Keywords： Least Square Support Vector Machine     Artificial Neural Network     resilient modulus     Recycled Concrete Aggregate    

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Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist Article

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Engineering 2022, Volume 17, Issue 10,   Pages 82-92 doi: 10.1016/j.eng.2022.02.015

Abstract: In this paper, we propose a new kind of origami metasheet by incorporating a family of different square-twist

Keywords： Origami metamaterials     Metasheets     Square-twist pattern     Non-periodic tessellation     Programmability    

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Title Author Date Type Operation

Generalization and application in time series forecasting of the least square support vector machinemethod

Xiang Xiaodong

Journal Article

The S-N Curve Fitted by the Least Square Method Considering the Effect of Length of the Confidence Interval

Yang Xiaohua,Jin Ping,Yao Weixing

Journal Article

Day-ahead electricity price forecasting using back propagation neural networks and weighted least square

S. Surender REDDY,Chan-Mook JUNG,Ko Jun SEOG

Journal Article

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

Zhang Chenghui

Journal Article

System identification of channel roughness for middle route project of south to north water diversion

Yang Kailin,Wang Yisen

Journal Article

The research on method of geometry-control during erection of the short-line bridge

Wang Min,Zhang Yongtao,Liu Jinghong,Liu Yi,Huang Yue

Journal Article

LSSVM-based approach for refining soil failure criteria and calculating safety factor of slopes

Shiguo XIAO; Shaohong LI

Journal Article

A new type of quadratic acceleration method

Changqing LI, Menglin LOU,

Journal Article

Optical plasma boundary reconstruction based on least squares for EASTTokamak

Hao LUO, Zheng-ping LUO, Chao XU, Wei JIANG

Journal Article

Learning deep IA bidirectional intelligence

Lei XU

Journal Article

Bio-inspired heuristics hybrid with interior-point method for active noise control systems without identification

Muhammad Asif Zahoor RAJA, Muhammad Saeed ASLAM, Naveed Ishtiaq CHAUDHARY, Wasim Ullah KHAN

Journal Article

Existence of complete band gaps in 2D steel-water phononic crystal with square lattice

Cunfu HE, Huanyu ZHAO, Ruiju WEI, Bin WU

Journal Article

Signal separation technology for diphase opposition giant magnetostrictive self-sensing actuator

Xinhua WANG, Shuwen SUN, Jian ZHEN, Qianyi YA, Deguo WANG,

Journal Article

Predicting resilient modulus of recycled concrete and clay masonry blends for pavement applications using soft computing techniques

Mosbeh R. KALOOP, Alaa R. GABR, Sherif M. EL-BADAWY, Ali ARISHA, Sayed SHWALLY, Jong WAN HU

Journal Article

Tessellation Rule and Properties Programming of Origami Metasheets Built with a Mixture of Rigid and Non-Rigid Square-Twist

Jiayao Ma, Shixi Zang, Yan Chen, Zhong You

Journal Article