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Original Articles

Applying artificial neural networks and virtual experimental design to quality improvement of two industrial processes

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Pages 101-118 | Published online: 21 Feb 2007

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Abhinav Kumar Sharma, Indrajit Mukherjee & Sasadhar Bera. (2023) A novel machine learning-based multiobjective robust optimisation strategy for quality improvement of multivariate manufacturing processes. International Journal of Production Research 61:13, pages 4322-4340.
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Zheng Tong, Jie Gao, Zhenqiang Han & Zhenjun Wang. (2018) Recognition of asphalt pavement crack length using deep convolutional neural networks. Road Materials and Pavement Design 19:6, pages 1334-1349.
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X M Shi, S Soltesz, Y X Li, J D Cross & L Ewan. (2013) Electrochemically aged arc-sprayed zinc coating to concrete: bond strength study. Surface Engineering 29:1, pages 55-60.
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N. Fang, P. Srinivasa Pai & N. Edwards. (2010) Prediction of built-up edge formation in machining with round edge and sharp tools using a neural network approach. International Journal of Computer Integrated Manufacturing 23:11, pages 1002-1014.
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Claudia Barreto Cabrera, Joaquín B. Ordieres Meré, Manuel Castejon Limas & Juan José del Coz Díaz. (2010) A data-driven manufacturing support system for rubber extrusion lines. International Journal of Production Research 48:8, pages 2219-2231.
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Articles from other publishers (27)

Yong Deng & Xianming Shi. (2022) An Accurate, Reproducible and Robust Model to Predict the Rutting of Asphalt Pavement: Neural Networks Coupled With Particle Swarm Optimization. IEEE Transactions on Intelligent Transportation Systems 23:11, pages 22063-22072.
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Rosa Arboretti, Riccardo Ceccato, Luca Pegoraro & Luigi Salmaso. (2021) Design of Experiments and machine learning for product innovation: A systematic literature review. Quality and Reliability Engineering International 38:2, pages 1131-1156.
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Jacqueline Schmitt, Jochen Bönig, Thorbjörn Borggräfe, Gunter Beitinger & Jochen Deuse. (2020) Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing. Advanced Engineering Informatics 45, pages 101101.
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Prisilla Jayanthi & Muralikrishna Iyyanki. 2020. Deep Neural Networks for Multimodal Imaging and Biomedical Applications. Deep Neural Networks for Multimodal Imaging and Biomedical Applications 118 154 .
Jiantao Li, Hongqi Zhang, Yue Wang & Huanan Cui. 2020. Signal and Information Processing, Networking and Computers. Signal and Information Processing, Networking and Computers 486 492 .
Jochen Deuse, Mario Wiegand & Kirsten Weisner. 2019. Applications in Statistical Computing. Applications in Statistical Computing 289 301 .
Yuquan Meng, Yuhang Yang, Haseung Chung, Pil-Ho Lee & Chenhui Shao. (2018) Enhancing Sustainability and Energy Efficiency in Smart Factories: A Review. Sustainability 10:12, pages 4779.
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Jun LiuKezhen YanJenny LiuXiaowen Zhao. (2018) Using Artificial Neural Networks to Predict the Dynamic Modulus of Asphalt Mixtures Containing Recycled Asphalt Shingles. Journal of Materials in Civil Engineering 30:4.
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Sen DuHui ZhaoYong GeZhengxian YangXianming Shi. (2017) Laboratory Investigation into the Modification of Transport Properties of High-Volume Fly Ash Mortar by Chemical Admixtures. Journal of Materials in Civil Engineering 29:10.
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Amrita Kumari, S.K. Das & P.K. Srivastava. (2017) Data-driven modeling of corrosion and scale deposition rate in economizer. Anti-Corrosion Methods and Materials 64:2, pages 178-187.
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Xianming Shi. (2016) Experimental and modeling studies on installation of arc sprayed Zn anodes for protection of reinforced concrete structures. Frontiers of Structural and Civil Engineering 10:1, pages 1-11.
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Hamidey Rostami, Jean-Yves Dantan & Lazhar Homri. (2015) Review of data mining applications for quality assessment in manufacturing industry: support vector machines. International Journal of Metrology and Quality Engineering 6:4, pages 401.
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Fatemeh Hoda Moghimi & Nilmini Wickramasinghe. 2014. Lean Thinking for Healthcare. Lean Thinking for Healthcare 13 27 .
Tritiya R. Arungpadang & Young Jin Kim. (2013) A Study on Dual Response Approach Combining Neural Network and Genetic Algorithm. Journal of Korean Institute of Industrial Engineers 39:5, pages 361-366.
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Xianming Shi, Keith Fortune, Robert Smithlin, Michelle Akin & Laura Fay. (2013) Exploring the performance and corrosivity of chloride deicer solutions: Laboratory investigation and quantitative modeling. Cold Regions Science and Technology 86, pages 36-44.
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Tritiya R. Arungpadang & Young Jin Kim. (2012) Robust Parameter Design Based on Back Propagation Neural Network. Korean Management Science Review 29:3, pages 81-89.
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Xianming ShiMichelle Akin. (2012) Holistic Approach to Decision Making in the Formulation and Selection of Anti-Icing Products. Journal of Cold Regions Engineering 26:3, pages 101-117.
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You-Jin Park & Gyu-Bong Lee. (2012) Application of heuristic approaches to minimization of energy consumption in inner layer scrubbing process in PCB manufacturing. International Journal of Precision Engineering and Manufacturing 13:7, pages 1059-1066.
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Xianming Shi, Tuan Anh Nguyen, Zhiyong Suo, Jianlin Wu, Jing Gong & Recep Avci. (2012) Electrochemical and mechanical properties of superhydrophobic aluminum substrates modified with nano-silica and fluorosilane. Surface and Coatings Technology 206:17, pages 3700-3713.
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Feza Geyikçi, Erdal Kılıç, Semra Çoruh & Sermin Elevli. (2012) Modelling of lead adsorption from industrial sludge leachate on red mud by using RSM and ANN. Chemical Engineering Journal 183, pages 53-59.
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Gülser Köksal, İnci Batmaz & Murat Caner Testik. (2011) A review of data mining applications for quality improvement in manufacturing industry. Expert Systems with Applications 38:10, pages 13448-13467.
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Xianming Shi, Tuan Anh Nguyen, Prathish Kumar & Yajun Liu. (2011) A phenomenological model for the chloride threshold of pitting corrosion of steel in simulated concrete pore solutions. Anti-Corrosion Methods and Materials 58:4, pages 179-189.
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X. Shi,Y. Liu,M. Mooney,M. Berry,B. Hubbard,T.A. Nguyen,. (2010) Laboratory Investigation and Neural Networks Modeling of Deicer Ingress into Portland Cement Concrete and its Corrosion Implications. Corrosion Reviews 28:3-4, pages 105-154.
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Christopher StrongXianming Shi. (2008) Benefit-Cost Analysis of Weather Information for Winter Maintenance. Transportation Research Record: Journal of the Transportation Research Board 2055:1, pages 119-127.
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Durward K. SobekIIII & Vikas K. Jain. (2007) Relating Design Process to Quality: A Virtual Design of Experiments Approach. Journal of Mechanical Design 129:5, pages 483-490.
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J. A. Harding, M. Shahbaz, Srinivas & A. Kusiak. (2006) Data Mining in Manufacturing: A Review. Journal of Manufacturing Science and Engineering 128:4, pages 969-976.
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Vikas K. Jain & Durward K. SobekIIII. (2006) Linking design process to customer satisfaction through virtual design of experiments. Research in Engineering Design 17:2, pages 59-71.
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