메뉴 건너뛰기




Volumn 24, Issue 3-4, 2014, Pages 539-547

Erratum to Neural network nonlinear modeling for hydrogen production using anaerobic fermentation (Neural Comput & Applic, 10.1007/s00521-012-1268-8);Neural network nonlinear modeling for hydrogen production using anaerobic fermentation

Author keywords

Anaerobic fermentation; Artificial neural network model; Hydrogen production; Renewable energy

Indexed keywords

FERMENTATION; FORECASTING; NEURAL NETWORKS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84893973743     PISSN: 09410643     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00521-013-1382-2     Document Type: Erratum
Times cited : (19)

References (38)
  • 1
    • 34249794005 scopus 로고    scopus 로고
    • Timing error correction procedure applied to neural network rainfall-unoff modelling
    • Abrahart RJ, Heppemtall AJ, See LM (2007) Timing error correction procedure applied to neural network rainfall-unoff modelling. Hydrol Sci J 52: 414-431.
    • (2007) Hydrol Sci J , vol.52 , pp. 414-431
    • Abrahart, R.J.1    Heppemtall, A.J.2    See, L.M.3
  • 2
    • 57549099496 scopus 로고    scopus 로고
    • Hydrogen production using clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564
    • doi:10.1016/j.ijhydene.2008.09.066
    • Alalayah WM, Kalil MS, Kadhum AH, Jahim JM, Alaug NM (2008) Hydrogen production using clostridium saccharoperbutylacetonicum N1-4 (ATCC 13564. Int J Hydrogen Energy 33: 7392-7396. doi: 10. 1016/j. ijhydene. 2008. 09. 066.
    • (2008) Int J Hydrogen Energy , vol.33 , pp. 7392-7396
    • Alalayah, W.M.1    Kalil, M.S.2    Kadhum, A.H.3    Jahim, J.M.4    Alaug, N.M.5
  • 3
    • 63849167764 scopus 로고    scopus 로고
    • Effect of environmental parameters on hydrogen production using C. Saccharoperbutylacetonicum N1-4 (ATCC 1356 4)
    • Alalayah WM, Kalil MS, Kadhum AH, Jahim JM, Alaug NM (2009) Effect of environmental parameters on hydrogen production using C. Saccharoperbutylacetonicum N1-4 (ATCC 1356 4). Am J Environ Sci 5(1): 80-86.
    • (2009) Am J Environ Sci , vol.5 , Issue.1 , pp. 80-86
    • Alalayah, W.M.1    Kalil, M.S.2    Kadhum, A.H.3    Jahim, J.M.4    Alaug, N.M.5
  • 5
    • 57649159455 scopus 로고    scopus 로고
    • Effect of fluid velocity and temperature on the corrosion mechanism of low carbon steel in industrial water in the absence and presence of 2-hydrazino benzothiazole
    • Badiea MA, Mohana NK (2008) Effect of fluid velocity and temperature on the corrosion mechanism of low carbon steel in industrial water in the absence and presence of 2-hydrazino benzothiazole. Korean J Chem Eng 25(6): 1292-1299.
    • (2008) Korean J Chem Eng , vol.25 , Issue.6 , pp. 1292-1299
    • Badiea, M.A.1    Mohana, N.K.2
  • 6
    • 0037332970 scopus 로고    scopus 로고
    • The hydrogen economy in the 21st century: a sustainable development scenario
    • Barreto L, Makihira A, Riahi K (2003) The hydrogen economy in the 21st century: a sustainable development scenario. Int J Hydrogen Energy 28: 267-284.
    • (2003) Int J Hydrogen Energy , vol.28 , pp. 267-284
    • Barreto, L.1    Makihira, A.2    Riahi, K.3
  • 7
    • 0003487601 scopus 로고
    • 1st edn. Oxford University Press, USA (ISBN-13: 978-01 98538646)
    • Bishop C (1995) Neural networks for pattern recognition, 1st edn. Oxford University Press, USA (ISBN-13: 978-01 98538646).
    • (1995) Neural networks for pattern recognition
    • Bishop, C.1
  • 8
    • 0019696970 scopus 로고
    • The economics of hydrogen as a fuel
    • Bockris JOM (1981) The economics of hydrogen as a fuel. Int J Hydrogen Energy 6: 223-241.
    • (1981) Int J Hydrogen Energy , vol.6 , pp. 223-241
    • Bockris, J.O.M.1
  • 10
    • 0002363078 scopus 로고
    • On the experimental attainment of optimum conditions
    • Box GEP, Wilson KB (1951) On the experimental attainment of optimum conditions. J Royal Stat Soc 13(1): 1-45.
    • (1951) J Royal Stat Soc , vol.13 , Issue.1 , pp. 1-45
    • Box, G.E.P.1    Wilson, K.B.2
  • 11
    • 63049105407 scopus 로고    scopus 로고
    • Neural network model for Nile river inflow forecasting based on correlation analysis of historical inflow data
    • El-shafie A, Noureldin AE, Taha MR, Basri H (2008) Neural network model for Nile river inflow forecasting based on correlation analysis of historical inflow data. J Appl Sci 8(24): 4487-4499.
    • (2008) J Appl Sci , vol.8 , Issue.24 , pp. 4487-4499
    • El-Shafie, A.1    Noureldin, A.E.2    Taha, M.R.3    Basri, H.4
  • 12
    • 77956875961 scopus 로고    scopus 로고
    • Performance evaluation of a nonlinear error model for underwater range computation utilizing GPS sonobuoys
    • El-Shafie A, Osman A, Noureldin A, Hussain A (2010) Performance evaluation of a nonlinear error model for underwater range computation utilizing GPS sonobuoys. Neural Comput Appl 19(5): 272-283.
    • (2010) Neural Comput Appl , vol.19 , Issue.5 , pp. 272-283
    • El-Shafie, A.1    Osman, A.2    Noureldin, A.3    Hussain, A.4
  • 13
    • 77952881356 scopus 로고    scopus 로고
    • Neural network modelling of time-dependent creep deformations in masonry structures
    • El-Shafie A, Abdelazim T, Noureldin A (2010) Neural network modelling of time-dependent creep deformations in masonry structures. Neural Comput Appl 19(4): 583-594.
    • (2010) Neural Comput Appl , vol.19 , Issue.4 , pp. 583-594
    • El-Shafie, A.1    Abdelazim, T.2    Noureldin, A.3
  • 14
    • 79957945389 scopus 로고    scopus 로고
    • Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt
    • El-Shafie AH, El-Shafie A, El Mazoghi HG, Shehata A, Taha MR (2011) Artificial neural network technique for rainfall forecasting applied to Alexandria, Egypt. Int J Phys Sci 6(6): 1306-1316.
    • (2011) Int J Phys Sci , vol.6 , Issue.6 , pp. 1306-1316
    • El-Shafie, A.H.1    El-Shafie, A.2    El Mazoghi, H.G.3    Shehata, A.4    Taha, M.R.5
  • 15
    • 0027007868 scopus 로고
    • Rainfall forecasting in space and time using a neural network
    • French MN, Krajewski WF, Cuykendal RR (1992) Rainfall forecasting in space and time using a neural network. J Hydrol 137: 1-37.
    • (1992) J Hydrol , vol.137 , pp. 1-37
    • French, M.N.1    Krajewski, W.F.2    Cuykendal, R.R.3
  • 16
    • 0025507332 scopus 로고
    • On the decision region of multilayer perceptrons
    • Gibson GJ, Cowan CFN (1990) On the decision region of multilayer perceptrons. Proc IEEE 78: 1590-1594.
    • (1990) Proc IEEE , vol.78 , pp. 1590-1594
    • Gibson, G.J.1    Cowan, C.F.N.2
  • 17
    • 33750017111 scopus 로고    scopus 로고
    • Direct fermentation of palm oil mill effluent to acetone-butanol-ethanol by solvent producing clostridia
    • Kalil MS, Pang Y, Sadazo Y, Rakmi AR, Wan M (2003) Direct fermentation of palm oil mill effluent to acetone-butanol-ethanol by solvent producing clostridia. Pak Int J Biol Sci 6: 1273-1275.
    • (2003) Pak Int J Biol Sci , vol.6 , pp. 1273-1275
    • Kalil, M.S.1    Pang, Y.2    Sadazo, Y.3    Rakmi, A.R.4    Wan, M.5
  • 18
    • 2342472020 scopus 로고    scopus 로고
    • Biological hydrogen production: effects of pH and intermediate products
    • Khanal SK, Chen WH, Li L, Sung S (2004) Biological hydrogen production: effects of pH and intermediate products. Int J Hydrogen Energy 29: 1123-1131.
    • (2004) Int J Hydrogen Energy , vol.29 , pp. 1123-1131
    • Khanal, S.K.1    Chen, W.H.2    Li, L.3    Sung, S.4
  • 19
    • 56349144841 scopus 로고    scopus 로고
    • Effect of cultivation temperature on fermentative hydrogen production from xylose by a mixed culture
    • doi:10.1016/j.biombioe.2008.02.005
    • Lin CY, Wu CC, Wu JH, Chang FY (2008) Effect of cultivation temperature on fermentative hydrogen production from xylose by a mixed culture. Biomass Bioenergy 32: 1109-1115. doi: 10. 1016/j. biombioe. 2008. 02. 005.
    • (2008) Biomass Bioenergy , vol.32 , pp. 1109-1115
    • Lin, C.Y.1    Wu, C.C.2    Wu, J.H.3    Chang, F.Y.4
  • 20
    • 0033209687 scopus 로고    scopus 로고
    • Improving the convergence of the backpropagation algorithm using learning rate adaptation methods
    • Magoulas GD, Vrahatis MN, Androulakis GS (1999) Improving the convergence of the backpropagation algorithm using learning rate adaptation methods. Neural Comput 11: 1769-1796.
    • (1999) Neural Comput , vol.11 , pp. 1769-1796
    • Magoulas, G.D.1    Vrahatis, M.N.2    Androulakis, G.S.3
  • 21
    • 0033957764 scopus 로고    scopus 로고
    • Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications
    • Maier HR, Dandy GC (2000) Neural networks for the prediction and forecasting of water resources variables: a review of modelling issues and applications. Environ Model Softw 15: 101-124.
    • (2000) Environ Model Softw , vol.15 , pp. 101-124
    • Maier, H.R.1    Dandy, G.C.2
  • 23
    • 84865634266 scopus 로고    scopus 로고
    • Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation
    • Najah AA, El-Shafie A, Karim OA, Jaafar O (2011) Water quality prediction model utilizing integrated wavelet-ANFIS model with cross-validation. Neural Comput Appl 21(5): 833-841.
    • (2011) Neural Comput Appl , vol.21 , Issue.5 , pp. 833-841
    • Najah, A.A.1    El-Shafie, A.2    Karim, O.A.3    Jaafar, O.4
  • 24
    • 77956965234 scopus 로고    scopus 로고
    • GPS/INS integration utilizing dynamic neural networks for vehicular navigation
    • Noureldin A, El-Shafie A, Bayoumi M (2011) GPS/INS integration utilizing dynamic neural networks for vehicular navigation. Inf Fus 12(1): 48-57.
    • (2011) Inf Fus , vol.12 , Issue.1 , pp. 48-57
    • Noureldin, A.1    El-Shafie, A.2    Bayoumi, M.3
  • 27
    • 38849158671 scopus 로고    scopus 로고
    • Statistical optimization of process parameters on biohydrogen production from glucose by Clostridium sp. Fanp 2
    • Pan CM, Fan YT, Xing Y, Hou HW, Zhang ML (2008) Statistical optimization of process parameters on biohydrogen production from glucose by Clostridium sp. Fanp 2. Bioresour Technol 99: 3146-3154.
    • (2008) Bioresour Technol , vol.99 , pp. 3146-3154
    • Pan, C.M.1    Fan, Y.T.2    Xing, Y.3    Hou, H.W.4    Zhang, M.L.5
  • 28
    • 84953405534 scopus 로고    scopus 로고
    • 1st edn. Cambridge University Press, Cambridge (ISBN: 0-521-46086-7)
    • Ripley BD (1996) Pattern recognition and neural networks, 1st edn. Cambridge University Press, Cambridge (ISBN: 0-521-46086-7).
    • (1996) Pattern recognition and neural networks
    • Ripley, B.D.1
  • 29
    • 0032131852 scopus 로고    scopus 로고
    • Comparative efficiency assessments for a range of hydrogen production processes
    • Rosen MA, Scott DS (1998) Comparative efficiency assessments for a range of hydrogen production processes. Int J Hydrogen Energy 23: 653-659.
    • (1998) Int J Hydrogen Energy , vol.23 , pp. 653-659
    • Rosen, M.A.1    Scott, D.S.2
  • 31
  • 32
    • 27744533047 scopus 로고    scopus 로고
    • Application of the Box-Wilson experimental design method for the spherical oil agglomeration of coal
    • Sönmez I, Cebeci Y (2006) Application of the Box-Wilson experimental design method for the spherical oil agglomeration of coal. Fuel 85: 289-297.
    • (2006) Fuel , vol.85 , pp. 289-297
    • Sönmez, I.1    Cebeci, Y.2
  • 34
    • 44749093533 scopus 로고    scopus 로고
    • Comparison of different pretreatment methods for enriching hydrogen-producing cultures from digested sludge
    • Wang JL, Wan W (2008) Comparison of different pretreatment methods for enriching hydrogen-producing cultures from digested sludge. Int J Hydrogen Energy 33: 2934-2941.
    • (2008) Int J Hydrogen Energy , vol.33 , pp. 2934-2941
    • Wang, J.L.1    Wan, W.2
  • 35
    • 53449097548 scopus 로고    scopus 로고
    • Effect of temperature on fermentative hydrogen production by mixed cultures
    • Wang JL, Wan W (2008) Effect of temperature on fermentative hydrogen production by mixed cultures. Int J Hydrogen Energy 33: 5392-5397.
    • (2008) Int J Hydrogen Energy , vol.33 , pp. 5392-5397
    • Wang, J.L.1    Wan, W.2
  • 36
    • 57949084205 scopus 로고    scopus 로고
    • Optimization of fermentative hydrogen production process using genetic algorithm based on neural network and response surface methodology
    • Wang JL, Wan W (2009) Optimization of fermentative hydrogen production process using genetic algorithm based on neural network and response surface methodology. Int J Hydrogen Energy 34: 255-261.
    • (2009) Int J Hydrogen Energy , vol.34 , pp. 255-261
    • Wang, J.L.1    Wan, W.2
  • 38
    • 33846820413 scopus 로고    scopus 로고
    • Effect of fermentation temperature on hydrogen production from cow waste slurry by using anaerobic microflora within the slurry
    • Yokoyama H, Waki M, Moriya N, Yasuda T, Tanaka Y, Haga K (2007) Effect of fermentation temperature on hydrogen production from cow waste slurry by using anaerobic microflora within the slurry. Appl Microbiol Biotechnol 74: 474-483.
    • (2007) Appl Microbiol Biotechnol , vol.74 , pp. 474-483
    • Yokoyama, H.1    Waki, M.2    Moriya, N.3    Yasuda, T.4    Tanaka, Y.5    Haga, K.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.