메뉴 건너뛰기




Volumn 27, Issue 4, 2016, Pages 905-914

The knowledge modeling system of ready-mixed concrete enterprise and artificial intelligence with ANN-GA for manufacturing production

Author keywords

Artificial intelligence; Compressive strength; Concrete enterprises; Knowledge management; Knowledge mining; Knowledge modeling system

Indexed keywords

ARTIFICIAL INTELLIGENCE; BACKPROPAGATION; BACKPROPAGATION ALGORITHMS; COMPRESSIVE STRENGTH; CONCRETE INDUSTRY; CONCRETE MIXERS; CONCRETES; DATA MINING; DECISION SUPPORT SYSTEMS; GENETIC ALGORITHMS; KNOWLEDGE MANAGEMENT; MANAGEMENT SCIENCE; MINING; NEURAL NETWORKS; PUBLIC RELATIONS;

EID: 84901548518     PISSN: 09565515     EISSN: 15728145     Source Type: Journal    
DOI: 10.1007/s10845-014-0923-6     Document Type: Article
Times cited : (24)

References (49)
  • 1
    • 0343290292 scopus 로고    scopus 로고
    • Cements of yesterday and today: Concrete of tomorrow
    • Aïtcin, P.-C. (2000). Cements of yesterday and today: Concrete of tomorrow. Cement and Concrete Research, 30(9), 1349–1359.
    • (2000) Cement and Concrete Research , vol.30 , Issue.9 , pp. 1349-1359
    • Aïtcin, P.-C.1
  • 2
    • 84897593263 scopus 로고    scopus 로고
    • Neural network based modeling and optimization of deep drawing—extrusion combined process
    • Ashhab, M. D. S., Breitsprecher, T., & Wartzack, S. (2012). Neural network based modeling and optimization of deep drawing—extrusion combined process. Journal of Intelligent Manufacturing, 25(1), 77–84. doi:10.1007/s10845-012-0676-z.
    • (2012) Journal of Intelligent Manufacturing , vol.25 , Issue.1 , pp. 77-84
    • Ashhab, M.D.S.1    Breitsprecher, T.2    Wartzack, S.3
  • 3
    • 79958863038 scopus 로고    scopus 로고
    • An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units
    • Azadeh, A., Saberi, M., Anvari, M., & Mohamadi, M. (2009). An integrated artificial neural network-genetic algorithm clustering ensemble for performance assessment of decision making units. Journal of Intelligent Manufacturing, 22(2), 229–245. doi:10.1007/s10845-009-0284-8.
    • (2009) Journal of Intelligent Manufacturing , vol.22 , Issue.2 , pp. 229-245
    • Azadeh, A.1    Saberi, M.2    Anvari, M.3    Mohamadi, M.4
  • 4
    • 79951816268 scopus 로고    scopus 로고
    • A comparative study for the concrete compressive strength estimation using neural network and neuro-fuzzy modelling approaches
    • Bilgehan, M. (2011). A comparative study for the concrete compressive strength estimation using neural network and neuro-fuzzy modelling approaches. Nondestructive Testing and Evaluation, 26(01), 35–55.
    • (2011) Nondestructive Testing and Evaluation , vol.26 , Issue.1 , pp. 35-55
    • Bilgehan, M.1
  • 5
    • 60249091961 scopus 로고    scopus 로고
    • Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network
    • Bilim, C., Atiş, C. D., Tanyildizi, H., & Karahan, O. (2009). Predicting the compressive strength of ground granulated blast furnace slag concrete using artificial neural network. Advances in Engineering Software, 40(5), 334–340.
    • (2009) Advances in Engineering Software , vol.40 , Issue.5 , pp. 334-340
    • Bilim, C.1    Atiş, C.D.2    Tanyildizi, H.3    Karahan, O.4
  • 6
    • 34547555564 scopus 로고    scopus 로고
    • Toward European knowledge enterprises
    • Bodrow, W. (2007). Toward European knowledge enterprises. Journal of Intelligent Manufacturing, 18(4), 459–466.
    • (2007) Journal of Intelligent Manufacturing , vol.18 , Issue.4 , pp. 459-466
    • Bodrow, W.1
  • 7
    • 84892404661 scopus 로고    scopus 로고
    • Information systems integration after merger and acquisition
    • Chang, S.-I., Chang, I.-C., & Wang, T. (2014). Information systems integration after merger and acquisition. Industrial Management & Data Systems, 114(1), 37–52.
    • (2014) Industrial Management & Data Systems , vol.114 , Issue.1 , pp. 37-52
    • Chang, S.-I.1    Chang, I.-C.2    Wang, T.3
  • 8
    • 84855958890 scopus 로고    scopus 로고
    • Knowledge management fit and its implications for business performance: A profile deviation analysis
    • Chen, Y.-Y., & Huang, H.-L. (2012). Knowledge management fit and its implications for business performance: A profile deviation analysis. Knowledge-based systems, 27, 262–270.
    • (2012) Knowledge-based systems , vol.27 , pp. 262-270
    • Chen, Y.-Y.1    Huang, H.-L.2
  • 9
    • 84880916803 scopus 로고    scopus 로고
    • Application of Takagi-Sugeno fuzzy model to a class of chaotic synchronization and anti-synchronization
    • Chen, D., Zhao, W., Sprott, J. C., & Ma, X. (2013). Application of Takagi-Sugeno fuzzy model to a class of chaotic synchronization and anti-synchronization. Nonlinear Dynamics, 73(3), 1495–1505. doi:10.1007/s11071-013-0880-1.
    • (2013) Nonlinear Dynamics , vol.73 , Issue.3 , pp. 1495-1505
    • Chen, D.1    Zhao, W.2    Sprott, J.C.3    Ma, X.4
  • 10
    • 33745529338 scopus 로고    scopus 로고
    • An agent-based approach to knowledge management in distributed design
    • Chira, O., Chira, C., Roche, T., Tormey, D., & Brennan, A. (2006). An agent-based approach to knowledge management in distributed design. Journal of Intelligent Manufacturing, 17(6), 737–750. doi:10.1007/s10845-006-0042-0.
    • (2006) Journal of Intelligent Manufacturing , vol.17 , Issue.6 , pp. 737-750
    • Chira, O.1    Chira, C.2    Roche, T.3    Tormey, D.4    Brennan, A.5
  • 11
    • 84860289347 scopus 로고    scopus 로고
    • Concrete compressive strength analysis using a combined classification and regression technique
    • Chou, J.-S., & Tsai, C.-F. (2012). Concrete compressive strength analysis using a combined classification and regression technique. Automation in Construction, 24, 52–60.
    • (2012) Automation in Construction , vol.24 , pp. 52-60
    • Chou, J.-S.1    Tsai, C.-F.2
  • 12
    • 72449130980 scopus 로고    scopus 로고
    • Data mining in manufacturing: A review based on the kind of knowledge
    • Choudhary, A. K., Harding, J. A., & Tiwari, M. K. (2009). Data mining in manufacturing: A review based on the kind of knowledge. Journal of Intelligent Manufacturing, 20(5), 501–521.
    • (2009) Journal of Intelligent Manufacturing , vol.20 , Issue.5 , pp. 501-521
    • Choudhary, A.K.1    Harding, J.A.2    Tiwari, M.K.3
  • 13
    • 67949115605 scopus 로고    scopus 로고
    • Collaborative knowledge management—a construction case study
    • Dave, B., & Koskela, L. (2009). Collaborative knowledge management—a construction case study. Automation in Construction, 18(7), 894–902.
    • (2009) Automation in Construction , vol.18 , Issue.7 , pp. 894-902
    • Dave, B.1    Koskela, L.2
  • 15
    • 69549084456 scopus 로고    scopus 로고
    • Using genetic algorithm-back propagation neural network prediction and finite-element model simulation to optimize the process of multiple-step incremental air-bending forming of sheet metal
    • Fu, Z., Mo, J., Chen, L., & Chen, W. (2010). Using genetic algorithm-back propagation neural network prediction and finite-element model simulation to optimize the process of multiple-step incremental air-bending forming of sheet metal. Materials & Design, 31(1), 267–277. doi:10.1016/j.matdes.2009.06.019.
    • (2010) Materials & Design , vol.31 , Issue.1 , pp. 267-277
    • Fu, Z.1    Mo, J.2    Chen, L.3    Chen, W.4
  • 17
    • 34547608464 scopus 로고    scopus 로고
    • Agent based approach for organization and personal knowledge modelling: Knowledge management perspective
    • Grundspenkis, J. (2007). Agent based approach for organization and personal knowledge modelling: Knowledge management perspective. Journal of Intelligent Manufacturing, 18(4), 451–457. doi:10.1007/s10845-007-0052-6.
    • (2007) Journal of Intelligent Manufacturing , vol.18 , Issue.4 , pp. 451-457
    • Grundspenkis, J.1
  • 19
    • 33644678621 scopus 로고    scopus 로고
    • Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks
    • Kewalramani, M. A., & Gupta, R. (2006). Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks. Automation in Construction, 15(3), 374–379. doi:10.1016/j.autcon.2005.07.003.
    • (2006) Automation in Construction , vol.15 , Issue.3 , pp. 374-379
    • Kewalramani, M.A.1    Gupta, R.2
  • 21
    • 71749085986 scopus 로고    scopus 로고
    • System perspective of knowledge management, organizational learning, and organizational innovation
    • Liao, S.-H., & Wu, C.-C. (2010). System perspective of knowledge management, organizational learning, and organizational innovation. Expert Systems with Applications, 37(2), 1096–1103.
    • (2010) Expert Systems with Applications , vol.37 , Issue.2 , pp. 1096-1103
    • Liao, S.-H.1    Wu, C.-C.2
  • 22
    • 84856085273 scopus 로고    scopus 로고
    • Exploring barriers to knowledge flow at different knowledge management maturity stages
    • Lin, C., Wu, J.-C., & Yen, D. C. (2012). Exploring barriers to knowledge flow at different knowledge management maturity stages. Information & Management, 49(1), 10–23.
    • (2012) Information & Management , vol.49 , Issue.1 , pp. 10-23
    • Lin, C.1    Wu, J.-C.2    Yen, D.C.3
  • 23
    • 84857366259 scopus 로고    scopus 로고
    • Developing project communities of practice-based knowledge management system in construction
    • Lin, Y.-C., & Lee, H.-Y. (2012). Developing project communities of practice-based knowledge management system in construction. Automation in Construction, 22, 422–432.
    • (2012) Automation in Construction , vol.22 , pp. 422-432
    • Lin, Y.-C.1    Lee, H.-Y.2
  • 25
    • 34848882163 scopus 로고    scopus 로고
    • Rethinking ERP success: A new perspective from knowledge management and continuous improvement
    • McGinnis, T. C., & Huang, Z. (2007). Rethinking ERP success: A new perspective from knowledge management and continuous improvement. Information & Management, 44(7), 626–634.
    • (2007) Information & Management , vol.44 , Issue.7 , pp. 626-634
    • McGinnis, T.C.1    Huang, Z.2
  • 26
    • 84920708030 scopus 로고    scopus 로고
    • Determination of compressive strength of concrete using self organization feature map (SOFM). Engineering with Computers
    • Nikoo, M., Zarfam, P., & Sayahpour, H. (2013). Determination of compressive strength of concrete using self organization feature map (SOFM). Engineering with Computers. doi:10.1007/s00366-013-0334-x.
    • (2013) doi:10.1007/s00366-013-0334-x
    • Nikoo, M.1    Zarfam, P.2    Sayahpour, H.3
  • 27
    • 84895911324 scopus 로고    scopus 로고
    • Statistical modeling and optimization of resistance spot welding process parameters using neural networks and multi-objective genetic algorithm. Journal of Intelligent Manufacturing
    • Pashazadeh, H., Gheisari, Y., & Hamedi, M. (2014). Statistical modeling and optimization of resistance spot welding process parameters using neural networks and multi-objective genetic algorithm. Journal of Intelligent Manufacturing. doi:10.1007/s10845-014-0891-x.
    • (2014) doi:10.1007/s10845-014-0891-x
    • Pashazadeh, H.1    Gheisari, Y.2    Hamedi, M.3
  • 30
    • 59349083164 scopus 로고    scopus 로고
    • Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA
    • Rajendra, M., Jena, P. C., & Raheman, H. (2009). Prediction of optimized pretreatment process parameters for biodiesel production using ANN and GA. Fuel, 88(5), 868–875. doi:10.1016/j.fuel.2008.12.008.
    • (2009) Fuel , vol.88 , Issue.5 , pp. 868-875
    • Rajendra, M.1    Jena, P.C.2    Raheman, H.3
  • 32
    • 84905115065 scopus 로고    scopus 로고
    • Concrete production plant variables affecting flexural atrength relative to compressive strength
    • 4014032
    • Richardson, D. N., & Whitwell, B. A. (2014). Concrete production plant variables affecting flexural atrength relative to compressive strength. Journal of Materials in Civil Engineering, 04014032. doi:10.1061/(asce)mt.1943-5533.0001079.
    • (2014) Journal of Materials in Civil Engineering
    • Richardson, D.N.1    Whitwell, B.A.2
  • 33
    • 70350704667 scopus 로고    scopus 로고
    • Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network
    • Roul, A. K., Raheman, H., Pansare, M. S., & Machavaram, R. (2009). Predicting the draught requirement of tillage implements in sandy clay loam soil using an artificial neural network. Biosystems Engineering, 104(4), 476–485. doi:10.1016/j.biosystemseng.2009.09.004.
    • (2009) Biosystems Engineering , vol.104 , Issue.4 , pp. 476-485
    • Roul, A.K.1    Raheman, H.2    Pansare, M.S.3    Machavaram, R.4
  • 34
    • 84880516525 scopus 로고    scopus 로고
    • Knowledge combination, innovation, organizational performance in technology firms
    • Ruiz-Jiménez, J. M., & del Mar Fuentes-Fuentes, M. (2013). Knowledge combination, innovation, organizational performance in technology firms. Industrial Management & Data Systems, 113(4), 523–540.
    • (2013) Industrial Management & Data Systems , vol.113 , Issue.4 , pp. 523-540
    • Ruiz-Jiménez, J.M.1    del Mar Fuentes-Fuentes, M.2
  • 35
    • 33846829958 scopus 로고    scopus 로고
    • Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method
    • Shen, C., Wang, L., & Li, Q. (2007). Optimization of injection molding process parameters using combination of artificial neural network and genetic algorithm method. Journal of Materials Processing Technology, 183(2), 412–418.
    • (2007) Journal of Materials Processing Technology , vol.183 , Issue.2 , pp. 412-418
    • Shen, C.1    Wang, L.2    Li, Q.3
  • 36
    • 77449135175 scopus 로고    scopus 로고
    • Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models
    • Sobhani, J., Najimi, M., Pourkhorshidi, A. R., & Parhizkar, T. (2010). Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models. Construction and Building Materials, 24(5), 709–718.
    • (2010) Construction and Building Materials , vol.24 , Issue.5 , pp. 709-718
    • Sobhani, J.1    Najimi, M.2    Pourkhorshidi, A.R.3    Parhizkar, T.4
  • 37
    • 41949098830 scopus 로고    scopus 로고
    • Time for change: Empowering organizations to succeed in the knowledge economy
    • Switzer, C. (2008). Time for change: Empowering organizations to succeed in the knowledge economy. Journal of Knowledge Management, 12(2), 18–28.
    • (2008) Journal of Knowledge Management , vol.12 , Issue.2 , pp. 18-28
    • Switzer, C.1
  • 39
    • 34347257478 scopus 로고    scopus 로고
    • Adaptive network-fuzzy inferencing to estimate concrete strength using mix design
    • Tesfamariam, S., & Najjaran, H. (2007). Adaptive network-fuzzy inferencing to estimate concrete strength using mix design. Journal of Materials in Civil Engineering, 19(7), 550–560.
    • (2007) Journal of Materials in Civil Engineering , vol.19 , Issue.7 , pp. 550-560
    • Tesfamariam, S.1    Najjaran, H.2
  • 41
    • 79959815253 scopus 로고    scopus 로고
    • Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network
    • Uysal, M., & Tanyildizi, H. (2011). Predicting the core compressive strength of self-compacting concrete (SCC) mixtures with mineral additives using artificial neural network. Construction and Building Materials, 25(11), 4105–4111.
    • (2011) Construction and Building Materials , vol.25 , Issue.11 , pp. 4105-4111
    • Uysal, M.1    Tanyildizi, H.2
  • 43
    • 84857355795 scopus 로고    scopus 로고
    • Assessing impacts of information technology on project success through knowledge management practice
    • Yang, L.-R., Chen, J.-H., & Wang, H.-W. (2012). Assessing impacts of information technology on project success through knowledge management practice. Automation in Construction, 22, 182–191.
    • (2012) Automation in Construction , vol.22 , pp. 182-191
    • Yang, L.-R.1    Chen, J.-H.2    Wang, H.-W.3
  • 44
    • 58349091031 scopus 로고    scopus 로고
    • Knowledge discovery of concrete material using genetic operation trees
    • Yeh, I., & Lien, L.-C. (2009). Knowledge discovery of concrete material using genetic operation trees. Expert Systems with Applications, 36(3), 5807–5812.
    • (2009) Expert Systems with Applications , vol.36 , Issue.3 , pp. 5807-5812
    • Yeh, I.1    Lien, L.-C.2
  • 45
    • 80053384432 scopus 로고    scopus 로고
    • Classification knowledge discovery in mold tooling test using decision tree algorithm
    • Yeh, D.-Y., Cheng, C.-H., & Hsiao, S.-C. (2011). Classification knowledge discovery in mold tooling test using decision tree algorithm. Journal of Intelligent Manufacturing, 22(4), 585–595.
    • (2011) Journal of Intelligent Manufacturing , vol.22 , Issue.4 , pp. 585-595
    • Yeh, D.-Y.1    Cheng, C.-H.2    Hsiao, S.-C.3
  • 46
    • 79952712984 scopus 로고    scopus 로고
    • Study of the knowledge-based integrated equipment management system for process enterprise
    • Yu, Y., Ji, X., Wang, D., Zhao, F., & Tang, J. H. (2011). Study of the knowledge-based integrated equipment management system for process enterprise. Advanced Materials Research, 201, 912–919.
    • (2011) Advanced Materials Research , vol.201 , pp. 912-919
    • Yu, Y.1    Ji, X.2    Wang, D.3    Zhao, F.4    Tang, J.H.5
  • 47
    • 84859215780 scopus 로고    scopus 로고
    • Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011)
    • Yusup, N., Zain, A. M., & Hashim, S. Z. M. (2012). Evolutionary techniques in optimizing machining parameters: Review and recent applications (2007–2011). Expert Systems with Applications, 39(10), 9909–9927. doi:10.1016/j.eswa.2012.02.109.
    • (2012) Expert Systems with Applications , vol.39 , Issue.10 , pp. 9909-9927
    • Yusup, N.1    Zain, A.M.2    Hashim, S.Z.M.3
  • 48
    • 63049109844 scopus 로고    scopus 로고
    • Multiple regression model for compressive strength prediction of high performance concrete
    • Zain, M., & Abd, S. (2009). Multiple regression model for compressive strength prediction of high performance concrete. Journal of Applied Sciences, 9(1), 155–160.
    • (2009) Journal of Applied Sciences , vol.9 , Issue.1 , pp. 155-160
    • Zain, M.1    Abd, S.2
  • 49
    • 79960051240 scopus 로고    scopus 로고
    • Genetic algorithm and simulated annealing to estimate optimal process parameters of the abrasive waterjet machining
    • Zain, A. M., Haron, H., & Sharif, S. (2010). Genetic algorithm and simulated annealing to estimate optimal process parameters of the abrasive waterjet machining. Engineering with Computers, 27(3), 251–259. doi:10.1007/s00366-010-0195-5.
    • (2010) Engineering with Computers , vol.27 , Issue.3 , pp. 251-259
    • Zain, A.M.1    Haron, H.2    Sharif, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.