Lv et al 2020b - Revision history

Rimni at 13:58, 1 March 2021

2021-03-01T13:58:11Z

Rimni at 10:36, 15 June 2020

2020-06-15T10:36:17Z

Rimni at 10:15, 15 June 2020

2020-06-15T10:15:58Z

Rimni at 09:58, 15 June 2020

2020-06-15T09:58:54Z

Rimni at 13:08, 12 June 2020

2020-06-12T13:08:29Z

Rimni at 13:08, 12 June 2020

2020-06-12T13:08:01Z

Rimni at 13:07, 12 June 2020

2020-06-12T13:07:07Z

Rimni at 13:05, 12 June 2020

2020-06-12T13:05:38Z

Rimni at 13:04, 12 June 2020

2020-06-12T13:04:59Z

Rimni at 13:03, 12 June 2020

2020-06-12T13:03:33Z

@@ Line 63: / Line 63: @@
 The fly ash mainly has the micro-aggregate effect on the pumpability of the paste backfill slurry. It can significantly improve the workability of the paste backfill slurry and fully allow lubricating ball effect of its spherical particles to improve the fluidity of the newly mixed paste, reduce bleeding, and prevent from segregation [19,20].
-[[#img-4|Figure 4]] demonstrates the strength (28d,8h) and slump for different fly ash-cement ratio (2.0,3.0,4.0,5.0,6.0). As shown in Figure 4, with other conditions unchanged, the higher the fly ash-cement ratio, the greater the slump, the better the fuildity, and the lower the compressive strength is. The reason is that the fine particles of fly ash evenly distributed in the cement particles has the micro-aggregate effect to prevent adhesive aggregation of the cement particles, and release some of the residual mixing water between the cement particles, thus improving the slump and fluidity of the paste slurry.
+[[#img-4|Figure 4]] demonstrates the strength (28d,8h) and slump for different fly ash-cement ratio (2.0,3.0,4.0,5.0,6.0). As shown in [[#img-4|Figure 4]], with other conditions unchanged, the higher the fly ash-cement ratio, the greater the slump, the better the fuildity, and the lower the compressive strength is. The reason is that the fine particles of fly ash evenly distributed in the cement particles has the micro-aggregate effect to prevent adhesive aggregation of the cement particles, and release some of the residual mixing water between the cement particles, thus improving the slump and fluidity of the paste slurry.
 <div id='img-4'></div>

@@ Line 280: / Line 280: @@
 <div id='table-1'></div>
 {| class="wikitable" style="margin: 1em auto 0.1em auto;border-collapse: collapse;font-size:85%;width:65%;"
 |-
-! NO !! Coal gangue: binder (%) !! Fly ash : binder (%) !! Mass concentration (%) !! Slump (cm) !! Initial strength (Mpa) !! Later strength (Mpa)
+!  NO !! Coal gangue: binder (%) !! Fly ash : binder (%) !! Mass concentration (%) !! Slump (cm) !! Initial strength (Mpa) !! Later strength (Mpa)
 |-
 | align="center" | 1 || align="center" |7.0 || align="center" |2.0 || align="center" |78 || align="center" |13.5 || align="center" |0.14 || align="center" |3.61

@@ Line 454: / Line 454: @@
 </center>
-The supporting load of filling body per unit length is  <math>N_1=504.3kN</math>
+The supporting load of filling body per unit length is  <math>N_1=504.3kN</math>.
 The bearing capacity of the filling body is shown in Eq. (10):

@@ Line 600: / Line 600: @@
 ==References==
-<span style="text-align: center; font-size: 85%;">[1] Zhang, Q.; Zhang, J.X.; Huang, Y.L.; Ju, F. Backfilling technology and strata behaviors in fully mechanized coal mining working face. Int. J. Min. Sci. Technol., 22:151–157, 2012.</span>
+<span style="text-align: center; font-size: 85%;">[1] Zhang Q., Zhang J.X., Huang Y.L., Ju F. Backfilling technology and strata behaviors in fully mechanized coal mining working face. Int. J. Min. Sci. Technol., 22:151–157, 2012.</span>
-<span style="text-align: center; font-size: 85%;">[2] Seryakov, V.M. Mathematical modeling of stress-strain state in rock mass during mining with backfill. J. Min. Sci., 50:847–854, 2014.</span>
+<span style="text-align: center; font-size: 85%;">[2] Seryakov V.M. Mathematical modeling of stress-strain state in rock mass during mining with backfill. J. Min. Sci., 50:847–854, 2014.</span>
-<span style="text-align: center; font-size: 85%;">[3] Wu, D.; Hou, Y.; Deng, T.; Chen, Y.; Zhao, X. Thermal, hydraulic and mechanical performances of cemented coal gangue-fly ash backfill. Int. J. Miner. Process., 162:12–18, 2017.</span>
+<span style="text-align: center; font-size: 85%;">[3] Wu D., Hou, Y., Deng T., Chen Y., Zhao X. Thermal, hydraulic and mechanical performances of cemented coal gangue-fly ash backfill. Int. J. Miner. Process., 162:12–18, 2017.</span>
-<span style="text-align: center; font-size: 85%;">[4] Zhang, J.X.; Li, B.Y.; Zhou, N.; Zhang, Q. Application of solid backfilling to reduce hard-roof caving and longwall coal face burst potential. Int. J. Rock Mech. Min., 88:197–205, 2016.</span>
+<span style="text-align: center; font-size: 85%;">[4] Zhang J.X., Li B.Y., Zhou N., Zhang Q. Application of solid backfilling to reduce hard-roof caving and longwall coal face burst potential. Int. J. Rock Mech. Min., 88:197–205, 2016.</span>
-<span style="text-align: center; font-size: 85%;">[5] Al Heib, M.M.; Didier, C.; Masrouri, F. Improving short- and long-term stability of underground gypsum mine using partial and total backfill. Rock Mech. Rock Eng., 43:447–461, 2010.</span>
+<span style="text-align: center; font-size: 85%;">[5] Al Heib M.M., Didier C., Masrouri F. Improving short- and long-term stability of underground gypsum mine using partial and total backfill. Rock Mech. Rock Eng., 43:447–461, 2010.</span>
-<span style="text-align: center; font-size: 85%;">[6] Wu, D.; Cai, S.J.; Liu, Y.C. Effects of binder on suction in cemented gangue backfill. Mag. Concr. Res., 68: 593–603, 2016.</span>
+<span style="text-align: center; font-size: 85%;">[6] Wu D., Cai S.J., Liu Y.C. Effects of binder on suction in cemented gangue backfill. Mag. Concr. Res., 68: 593–603, 2016.</span>
-<span style="text-align: center; font-size: 85%;">[7] Khaldoun, A.; Ouadif, L.; Baba, K.; Bahi, L. Valorization of mining waste and tailings through paste backfilling solution, Imiter operation, Morocco. Int. J. Min. Sci. Tech., 26:511–516, 2016.</span>
+<span style="text-align: center; font-size: 85%;">[7] Khaldoun A., Ouadif L., Baba K., Bahi L. Valorization of mining waste and tailings through paste backfilling solution, Imiter operation, Morocco. Int. J. Min. Sci. Tech., 26:511–516, 2016.</span>
-<span style="text-align: center; font-size: 85%;">[8] Zhang, J.X.; Zhang, Q.; Sun, Q.; Gao, R.; Germain, D.; Abro, S. Surface subsidence control theory and application to backfill coal mining technology. Environ. Earth Sci., 74:1439–1448, 2015. </span>
+<span style="text-align: center; font-size: 85%;">[8] Zhang J.X., Zhang Q., Sun Q., Gao R., Germain D., Abro S. Surface subsidence control theory and application to backfill coal mining technology. Environ. Earth Sci., 74:1439–1448, 2015. </span>
-<span style="text-align: center; font-size: 85%;">[9] Ercikdi, B.; Cihangir, F.; Kesimal, A.; Deveci, H.; Alp, İ. Utilization of industrial waste products as pozzolanic material in cemented paste backfill of high sulphide mill tailings. J. Hazard. Mater., 168:848–856, 2009.</span>
+<span style="text-align: center; font-size: 85%;">[9] Ercikdi B., Cihangir F., Kesimal A., Deveci H., Alp İ. Utilization of industrial waste products as pozzolanic material in cemented paste backfill of high sulphide mill tailings. J. Hazard. Mater., 168:848–856, 2009.</span>
-<span style="text-align: center; font-size: 85%;">[10] Benzaazoua, M.; Fall, M.; Belem, T. A contribution to understanding the hardening process of cemented pastefill. Miner. Eng., 17:141–152, 2004.</span>
+<span style="text-align: center; font-size: 85%;">[10] Benzaazoua M., Fall M., Belem T. A contribution to understanding the hardening process of cemented pastefill. Miner. Eng., 17:141–152, 2004.</span>
-<span style="text-align: center; font-size: 85%;">[11] Huang, P.; Li, B.Y.; Xiao, M.; Chen, Z.W.; Pei, Y.L. The Design of Critical Filling ratio in close distance coal seams by upward backfill mining technology. J. Min. Saf. Eng., 4:597–603, 2016.</span>
+<span style="text-align: center; font-size: 85%;">[11] Huang P., Li B.Y., Xiao M., Chen Z.W., Pei Y.L. The design of critical filling ratio in close distance coal seams by upward backfill mining technology. J. Min. Saf. Eng., 4:597–603, 2016.</span>
-<span style="text-align: center; font-size: 85%;">[12] Deng, D.; Liu, L.; Yao, Z.; Song, K.-I.; Lao, D. A practice of ultra-fine tailings disposal as filling material in a gold mine. J. Environ. Manag., 196:100–109, 2017.</span>
+<span style="text-align: center; font-size: 85%;">[12] Deng D., Liu L., Yao Z., Song K.-I., Lao D. A practice of ultra-fine tailings disposal as filling material in a gold mine. J. Environ. Manag., 196:100–109, 2017.</span>
-<span style="text-align: center; font-size: 85%;">[13] Liu, M.; Liu, X.; Wu, M.; Li, L.; Xiu, L. Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model. Comput. Geosci., 37:1642–1652, 2011.</span>
+<span style="text-align: center; font-size: 85%;">[13] Liu M., Liu X., Wu M., Li L., Xiu L. Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model. Comput. Geosci., 37:1642–1652, 2011.</span>
-<span style="text-align: center; font-size: 85%;">[14] Wang D., Quantitative investment model based on data mining, Rev. int. métodos numér. cálc. diseño ing., 36, (1), 22, 2020</span>
+<span style="text-align: center; font-size: 85%;">[14] Wang D. Quantitative investment model based on data mining. Rev. Int. Métodos Numér. Cálc. Diseño Ing., 36, (1), 22, 2020.</span>
-<span style="text-align: center; font-size: 85%;">[15] Heo, S.; Lee, J.H. Fault detection and classification using artificial neural networks. IFAC-Papers Online., 51: 470–475, 2018.</span>
+<span style="text-align: center; font-size: 85%;">[15] Heo S., Lee J.H. Fault detection and classification using artificial neural networks. IFAC-Papers Online, 51:470–475, 2018.</span>
-<span style="text-align: center; font-size: 85%;">[16] Ditto, W.; Munakata, T. Principles and applications of chaotic systems. Commun. ACM., 38:96–102, 1995.</span>
+<span style="text-align: center; font-size: 85%;">[16] Ditto W., Munakata T. Principles and applications of chaotic systems. Commun. ACM., 38:96–102, 1995.</span>
-<span style="text-align: center; font-size: 85%;">[17] Yang, D.; Liu, Z.; Zhou, J. Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization. Commun. Nonlinear Sci. Numer. Simul., 19:1229–1246, 2014.</span>
+<span style="text-align: center; font-size: 85%;">[17] Yang D., Liu Z., Zhou J. Chaos optimization algorithms based on chaotic maps with different probability distribution and search speed for global optimization. Commun. Nonlinear Sci. Numer. Simul., 19:1229–1246, 2014.</span>
-<span style="text-align: center; font-size: 85%;">[18] Sun, Q.; Zhang, J.; Zhang, Q.; Yan, H. A case study of mining-induced impacts on the stability of multi-tunnels with the backfill mining method and controlling strategies. Environ. Earth Sci., 77:234, 2018.</span>
+<span style="text-align: center; font-size: 85%;">[18] Sun Q., Zhang J., Zhang Q., Yan H. A case study of mining-induced impacts on the stability of multi-tunnels with the backfill mining method and controlling strategies. Environ. Earth Sci., 77:234, 2018.</span>
-<span style="text-align: center; font-size: 85%;">[19] Bharatkumar, B.H.; Narayanan, R.; Raghuprasad, B.K.; Ramachandramurthy, D.S. Mix proportioning of high performance concrete. Cem. Concr. Compos. 23:71–80, 2001.</span>
+<span style="text-align: center; font-size: 85%;">[19] Bharatkumar B.H., Narayanan R., Raghuprasad B.K., Ramachandramurthy D.S. Mix proportioning of high performance concrete. Cem. Concr. Compos., 23:71–80, 2001.</span>
-<span style="text-align: center; font-size: 85%;">[20] Yilmaz, T.; Ercikdi, B.; Karaman, K.; Kulekci, G. Assessment of strength properties of cemented paste backfill by ultrasonic pulse velocity test. Ultrasonics., 54:1386–1394, 2014.</span>
+<span style="text-align: center; font-size: 85%;">[20] Yilmaz T., Ercikdi B., Karaman K., Kulekci G. Assessment of strength properties of cemented paste backfill by ultrasonic pulse velocity test. Ultrasonics., 54:1386–1394, 2014.</span>
-<span style="text-align: center; font-size: 85%;">[21] Tang, W.; Zhang, X.Y.; Li, D.P. Chaotic optimization method for neural network's weights. J. Harbin. Inst. Technol.,  6:12-14, 2000.</span>
+<span style="text-align: center; font-size: 85%;">[21] Tang W., Zhang X.Y., Li D.P. Chaotic optimization method for neural network's weights. J. Harbin. Inst. Technol.,  6:12-14, 2000.</span>
-<span style="text-align: center; font-size: 85%;">[22] Wang, H.S.; Zhang, D.S.; Li, S.G,; Wang, L.; Wu, L.Z. Rational width of narrow coal pillar based on the fracture line location of key rock B in main roof. J. Min. Saf. Eng., 31:10-16, 2014.</span>
+<span style="text-align: center; font-size: 85%;">[22] Wang H.S., Zhang D.S., Li S.G., Wang L., Wu L.Z. Rational width of narrow coal pillar based on the fracture line location of key rock B in main roof. J. Min. Saf. Eng., 31:10-16, 2014.</span>

@@ Line 156: / Line 156: @@
 |}
-where,  <math>o_k^p</math>,  <math>z_k^p</math> are the network output and expected value of the sample  <math>p</math>, respectively.  <math display="inline">M</math> is the number of training sample.
+where  <math>o_k^p</math>,  <math>z_k^p</math> are the network output and expected value of the sample  <math>p</math>, respectively.  <math display="inline">M</math> is the number of training sample.
 '''Step 4'''. Modified Threshold value.

@@ Line 144: / Line 144: @@
 {| style="text-align: left; margin:auto;width: 100%"
 |-
-| style="text-align: left;" | <math>H(t)=-\partial E/\partial w_{ij}(t),H^{{'}}(t)=-\partial E/\partial {w^{{'}}}_{jk}(t)</math>
+| style="text-align: center;" | <math>H(t)=-\partial E/\partial w_{ij}(t),H^{{'}}(t)=-\partial E/\partial {w^{{'}}}_{jk}(t)</math>
 |}
 |}
 {| class="formulaSCP" style="width: 100%; text-align: left;"
 |-
@@ Line 154: / Line 152: @@
 {| style="text-align: left; margin:auto;width: 100%"
 |-
-| style="text-align: left;" | <math>E=\frac{1}{2}\sum_{p=1}^M\sum_{k=1}^m{\left(o_k^p-z_k^p\right)}^2</math>
+| style="text-align: center;" | <math>E=\frac{1}{2}\sum_{p=1}^M\sum_{k=1}^m{\left(o_k^p-z_k^p\right)}^2</math>
 |}
 |}

@@ Line 242: / Line 242: @@
 |-
+|
-{| style="text-align: center; margin:auto;width: 100%"
+{| style="text-align: left; margin:auto;width: 100%"
 |-
-| style="text-align: left;" | <math>\begin{array}{c}
+| style="text-align: center;" | <math>\begin{array}{c}
 If\mbox{ }f(w_{1,l+1},w_{2,l+1},...,w_{l,l+1})<f^{{'}}\mbox{ }\\
 \mbox{     }then\mbox{ }{w^{{'}}}_i=w_{i,l+1},f^{{'}}=f\mbox{ }(w_{1,l+1},w_{2,l+1},...,w_{l,l+1})\\
@@ Line 252: / Line 252: @@
 \end{array}</math>
 |}
 |}

@@ Line 263: / Line 263: @@
 ==4. COBPNN modeling and evaluation==
-===4.1 Modeling Principle===
+===4.1 Modeling principle===
 The COBPNN model combines the advantages and disadvantages of the CO and BPNN, and make the best of their strong points to improve the prediction quality of the model. The process is shown in [[#img-5|Figure 5]].

@@ Line 504: / Line 504: @@
 {| style="text-align: left; margin:auto;width: 100%"
 |-
-| style="text-align: center;" | <math>E_a=\frac{1}{2}\gamma H^2tan^2\left({45}^0-\frac{\varphi }{2}\right)</math>
+| style="text-align: center;" | <math>E_a=\frac{1}{2}\gamma H^2\tan^2\left({45}^0-\frac{\varphi }{2}\right)</math>
 |}
 | style="width: 5px;text-align: right;white-space: nowrap;" | (11)