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Synthetic optimization modeling on mining and utilization of multi-deposits in Gushan mine area

Cai Sijing,Wang Wenxiao,Zheng Minggui

Strategic Study of CAE 2011, Volume 13, Issue 3,   Pages 56-62

Abstract: a mine area by systematic and dynamic considering of mine full-life process, a synthetic optimizing modelof artificial neutral network (ANN) export system is set up.By using the model ,a synthetic optimization

Keywords： Gushan mine area     multi-deposits mining     full-scale mining concept     ANNexport system model    

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Predicting the capacity of perfobond rib shear connector using an ANN model and GSA method

Guorui SUN; Jun SHI; Yuang DENG

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 10,   Pages 1233-1248 doi: 10.1007/s11709-022-0878-1

Abstract: Due to recent advances in the field of artificial neural networks (ANN) and the global sensitivity analysisperformance of perfobond rib shear connectors (PRSCs) is predicted based on the back propagation (BP) ANNmodel, the Genetic Algorithm (GA) method and GSA method.The results predicted by the ANN models and empirical equations were compared, and the factors affectingThe results show that the use of ANN model optimization by GA method has fewer errors compared to the

Keywords： perfobond rib shear connector     shear strength     ANN model     global sensitivity analysis    

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Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

Frontiers in Energy 2013, Volume 7, Issue 4,   Pages 468-478 doi: 10.1007/s11708-013-0282-6

Abstract: perform the unit commitment (UC) based on frequency prediction by using artificial neural network (ANN) with the objective to minimize the overall system cost of the state utility.The performance of the frequency predictor model has been evaluated based on the absolute percentageThe proposed predicted frequency sensitive GS model is applied to the system of Indian state of Tamilnadu, which reduces the overall system cost of the state utility by keeping off the dearer units selected

Keywords： artificial neural network (ANN)     frequency prediction     availability-based tariff (ABT)     generation scheduling    

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Inhibition of the nuclear export of p65 and IQCG in leukemogenesis by NUP98-IQCG

Mengmeng Pan,Qiyao Zhang,Ping Liu,Jinyan Huang,Yueying Wang,Saijuan Chen

Frontiers of Medicine 2016, Volume 10, Issue 4,   Pages 410-419 doi: 10.1007/s11684-016-0489-0

Abstract: association of NUP98-IQCG with CRM1, and found that NUP98-IQCG expression inhibits the CRM1-mediated nuclear export

Keywords： NUP98-IQCG     nuclear export     NF-κB     CRM1    

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Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Strategic Study of CAE 2006, Volume 8, Issue 3,   Pages 83-86

Abstract: and analyzes some main factors influencing seismic disasters risk at first, and then, the forecasting modelThe case shows that the model is practical and effective.

Keywords： seismic disaster     factors of risk     artificial neural networks     genetic algorithm     forecasting    

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Sinks of steel in China–addition to in-use stock, export and loss

Hua GUO,Tianzhu ZHANG

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 1,   Pages 141-149 doi: 10.1007/s11783-014-0696-3

Abstract: researchers calculate the steel demand in China from 2000 to 2009 based on three sinks (steel stock, exportUnder the pressure of rising cost for imported resources, the export ratio of steel products should be

Keywords： steel demand     driver     Material Flow Analysis (MFA)     Substance Flow Analysis (SFA)     addition to in-use stock     steel policy    

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Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Frontiers of Mechanical Engineering 2008, Volume 3, Issue 4,   Pages 408-415 doi: 10.1007/s11465-008-0061-y

Abstract: Empirical model of machine tools on thermal error has been widely researched, which can compensate forTwo methods for system identification (the least square system identification and BP artificial neuralnetwork (ANN) system identification) are put forward to establish a dynamic characteristic model ofThe model of thermal error of the axis in a feed system of DM4600 vertical miller is established withComparing the results of the two identification methods, the BP ANN system identification is more precise

Keywords： square system     network     vertical miller     transfer     ANN    

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Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 8,   Pages 976-989 doi: 10.1007/s11709-022-0840-2

Abstract: structures based on vibration analysis using the Finite Element Method (FEM) and Artificial Neural Network (ANNANN is quite successful in such identification issues, but it has some limitations, such as reductionof error after system training is complete, which means the output does not provide optimal results.This paper improves ANN training after introducing BOA as a hybrid model (BOA-ANN).

Keywords： damage prediction     ANN     BOA     FEM     experimental modal analysis    

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An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties

Yaolin LIN, Wei YANG

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 550-563 doi: 10.1007/s11708-019-0607-1

Abstract: This paper attempts to develop an innovative ANN (artificial neural network)-exhaustive-listing methodtreated separately to achieve sufficient accuracy of prediction of thermal performance and that the ANN

Keywords： ANN (artificial neural network)     exhaustive-listing     building shape     optimization     thermal load     thermal comfort    

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Food Safety and Health

Martin Cole, Mary Ann Augustin

Engineering 2020, Volume 6, Issue 4,   Pages 391-392 doi: 10.1016/j.eng.2020.01.010

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Experimental investigation and ANN modeling on improved performance of an innovative method of using

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Frontiers in Energy 2013, Volume 7, Issue 3,   Pages 279-287 doi: 10.1007/s11708-013-0268-4

Abstract: done to harness ocean waves using a non-floating object and to find out the merits and demerits of the systemThe device was modeled in artificial neural network (ANN), the heave response for various parametersIt was found that the ANN model could predict the heave response with an accuracy of 99%.

Keywords： energy     point absorbers     heaving body     non-floating object     heave response ratio     artificial neural network (ANN    

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QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 1,   Pages 25-36 doi: 10.1007/s11709-022-0908-z

Abstract: optimize TBM control parameters using an improved loss function-based artificial neural network (ILF-ANNInspired by the regularization technique, a custom artificial neural network (ANN) loss function basedbackpropagation ANNs, i.e., the ease of falling into a local optimum, QPSO is adopted to train the ANNRock mass classes and tunneling parameters obtained in real time are used as the input of the QPSO-ILF-ANNResults show that, compared with the TBM operator and QPSO-ANN, the QPSO-ILF-ANN effectively increases

Keywords： tunnel boring machine     control parameter optimization     quantum particle swarm optimization     artificial neural network     tunneling energy efficiency    

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Theory and method of mechanism system design

Huijun ZOU, Qinghua LIANG, Qing ZHANG

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 399-411 doi: 10.1007/s11465-010-0116-8

Abstract: Specifically, for conceptual design of mechanical products, this paper presents a novel function solving model

Keywords： mechanism system creative design     process model     function solving model     process action procedure     mechanismsknowledge base     principle of mechanism system composition    

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Standard model of knowledge representation

Wensheng YIN

Frontiers of Mechanical Engineering 2016, Volume 11, Issue 3,   Pages 275-288 doi: 10.1007/s11465-016-0372-3

Abstract: methods include predicate logic, semantic network, computer programming language, database, mathematical modelintrinsic link between various knowledge representation methods, a unified knowledge representation modelAccording to ontology, system theory, and control theory, a standard model of knowledge representationThe model is composed of input, processing, and output.In addition, the standard model of knowledge representation provides a way to solve problems of non-precision

Keywords： knowledge representation     standard model     ontology     system theory     control theory     multidimensional representation    

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RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne

Xiao Zhiwang,Zhong Denghua

Strategic Study of CAE 2008, Volume 10, Issue 7,   Pages 77-81

Abstract: key of forecasting transmutation of wall rock correctly is to construct the reasonable mathematics modelthe characteristics of feed forward neural network of radial basis function to construct the forecast model

Keywords： deformation of wall rock     deformation forecast     radial basis function (RBF)     artificial neural network (ANN    

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Title Author Date Type Operation

Synthetic optimization modeling on mining and utilization of multi-deposits in Gushan mine area

Cai Sijing,Wang Wenxiao,Zheng Minggui

Journal Article

Predicting the capacity of perfobond rib shear connector using an ANN model and GSA method

Guorui SUN; Jun SHI; Yuang DENG

Journal Article

Optimal generation scheduling in power system using frequency prediction through ANN under ABT environment

Simarjit KAUR, Yajvender Pal VERMA, Sunil AGRAWAL

Journal Article

Inhibition of the nuclear export of p65 and IQCG in leukemogenesis by NUP98-IQCG

Mengmeng Pan,Qiyao Zhang,Ping Liu,Jinyan Huang,Yueying Wang,Saijuan Chen

Journal Article

Research on Forecasting Model of Seismic Disaster Risk Based on GA-ANN

Liu Mingguang,Guo Zhanglin

Journal Article

Sinks of steel in China–addition to in-use stock, export and loss

Hua GUO,Tianzhu ZHANG

Journal Article

Theory analysis and system identification methods on thermal dynamics characteristics of ballscrews

XIA Junyong, HU Youmin, WU Bo, SHI Tielin

Journal Article

Vibration-based crack prediction on a beam model using hybrid butterfly optimization algorithm with artificial

Abdelwahhab KHATIR; Roberto CAPOZUCCA; Samir KHATIR; Erica MAGAGNINI

Journal Article

An ANN-exhaustive-listing method for optimization of multiple building shapes and envelope properties

Yaolin LIN, Wei YANG

Journal Article

Food Safety and Health

Martin Cole, Mary Ann Augustin

Journal Article

Experimental investigation and ANN modeling on improved performance of an innovative method of using

Srinivasan CHANDRASEKARAN, Arunachalam AMARKARTHIK, Karuppan SIVAKUMAR, Dhanasekaran SELVAMUTHUKUMARAN, Shaji SIDNEY

Journal Article

QPSO-ILF-ANN-based optimization of TBM control parameters considering tunneling energy efficiency

Journal Article

Theory and method of mechanism system design

Huijun ZOU, Qinghua LIANG, Qing ZHANG

Journal Article

Standard model of knowledge representation

Wensheng YIN

Journal Article

RBF-ANN-Based forecast method of transmutation of wall rock on multi-arch tunne

Xiao Zhiwang,Zhong Denghua

Journal Article