Literatura académica sobre el tema "Quadratic Response Surface"
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Artículos de revistas sobre el tema "Quadratic Response Surface"
A.V, Dattatreya Rao y Seshubabu P. "Quadratic response surface designs". International Journal of Advances in Computing and Information Technology 1, n.º 2 (20 de abril de 2012): 174–81. http://dx.doi.org/10.6088/ijacit.12.10022.
Texto completoShehzad, Muhammad Ahmed, Adnan Bashir, Muhammad Noor Ul Amin, Saima Khan Khosa, Muhammad Aslam y Zubair Ahmad. "Reservoir Inflow Prediction by Employing Response Surface-Based Models Conjunction with Wavelet and Bootstrap Techniques". Mathematical Problems in Engineering 2021 (10 de noviembre de 2021): 1–9. http://dx.doi.org/10.1155/2021/4086918.
Texto completoSong, Wheyming Tina y Chien-Chou Su. "CORRELATED SIMULATION EXPERIMENT IN QUADRATIC RESPONSE SURFACE DESIGNS". Journal of the Chinese Institute of Industrial Engineers 19, n.º 3 (enero de 2002): 13–18. http://dx.doi.org/10.1080/10170660209509199.
Texto completoHussey, James R., Raymond H. Myers y Ernest C. Houck. "Pseudorandom Number Assignment in Quadratic Response Surface Designs". IIE Transactions 19, n.º 4 (diciembre de 1987): 395–403. http://dx.doi.org/10.1080/07408178708975412.
Texto completoHong, Kyung-Jin, Min-Soo Kim y Dong-Hoon Choi. "Efficient approximation method for constructing quadratic response surface model". KSME International Journal 15, n.º 7 (julio de 2001): 876–88. http://dx.doi.org/10.1007/bf03185266.
Texto completoAiny Hafeez, Ainy Hafeez, Syed Mohsin Ali Kazmi Syed Mohsin Ali Kazmi, Muhammad Sulaiman Muhammad Sulaiman y Chaudhry Haider Ali and Nadeem Feroze Chaudhry Haider Ali and Nadeem Feroze. "Optimization of Zinc Ions Removal by Modified Phoenix Dactylifera L. Seeds Using Response Surface Methodology". Journal of the chemical society of pakistan 41, n.º 1 (2019): 78. http://dx.doi.org/10.52568/000719/jcsp/41.01.2019.
Texto completoHan, Feng, Zheng Liang Li y Wen Liang Fan. "A New Adaptive Higher Order Response Surface Method". Advanced Materials Research 243-249 (mayo de 2011): 5946–54. http://dx.doi.org/10.4028/www.scientific.net/amr.243-249.5946.
Texto completoLaw, Poh Gaik, Noor Haida Sebran, Ashraf Zin Zawawi y Azlan Shah Hussain. "Optimization Study of Biomass Hydrogenation to Ethylene Glycol Using Response Surface Methodology". Processes 8, n.º 5 (15 de mayo de 2020): 588. http://dx.doi.org/10.3390/pr8050588.
Texto completoQin, Li, Wei Lin Peng y Wei Han. "High-Order RSM for Dynamic Reliability of UHV Transmission Tower". Applied Mechanics and Materials 799-800 (octubre de 2015): 1295–98. http://dx.doi.org/10.4028/www.scientific.net/amm.799-800.1295.
Texto completoGengec, E., M. Kobya, E. Demirbas, A. Akyol y K. Oktor. "Electrochemical treatment of Baker's yeast wastewater containing melanoidin: optimization through response surface methodology". Water Science and Technology 65, n.º 12 (1 de junio de 2012): 2183–90. http://dx.doi.org/10.2166/wst.2012.130.
Texto completoTesis sobre el tema "Quadratic Response Surface"
Oliveira, Patricia Candioto Migliari. "Modelagem e otimização de fermentadores para obtenção de etanol". [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/266343.
Texto completoTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia Quimica
Made available in DSpace on 2018-08-08T18:46:56Z (GMT). No. of bitstreams: 1 Oliveira_PatriciaCandiotoMigliari_D.pdf: 1584587 bytes, checksum: 8622cb86aacfe987908422e98c40d2c8 (MD5) Previous issue date: 2007
Resumo: O trabalho envolveu modelo estruturado adaptado de um modelo estruturado de crescimento para processo de fermentação contínua realizado em um bioreator do tipo torre com células imobilizadas para produção de etanol. O modelo estruturado utilizado inclui equações de balanço para as rotas metabólicas fermentativa e respiratória, assim como termos cinéticos para o efeito de inibição pelo etanol, substrato e saturação celular no pellet. Os parâmetros cinético do modelo estruturado foram otimizados através da metodologia desenvolvida por Rivera (2005) onde envolve a aplicação de Algoritmo Genético, Planejamento Fatorial Fracionário proposto por Plackett Burman (1946) e Algoritmo Quasy Newton. Os resultados obtidos na simulação do modelo utilizando os parâmetros otimizados por esta metodologia representou de forma efetiva o modelo. A otimização do processo teve inicio com a Análise de Superfície de Resposta, que consistiu em um planejamento fatorial em estrela de dois níveis (-1 e +1) com um ponto central. A metodologia por Superfície de Resposta mostrou-se uma ferramenta poderosa para otimização preliminar das variáveis operacionais no sentido de que seus resultados foram usados como estimativas iniciais para o procedimento formal de otimização, SQP (Programação Quadrática Sucessiva). Esta metodologia de Superfície de resposta possibilita visualização do comportamento das variáveis que se quer otimizar, identificando a região do ponto ótimo, o que não é possível pelo método SQP. A metodologia SQP foi implementada com sucesso no modelo determinístico, obtendo as melhores condições de operação para as variáveis manipuláveis
Abstract: The work involved adapted of a structured model of growth structured model for process of continuous fermentation accomplished in a bioreator of the type tower with immobilized cells for etanol production. The used structured model includes reaction rate equations for the respiratory and glicolitic metabolic pathways, as well as kinetic terms for the inhibition effect for the etanol, substrate and cellular saturation in the pellet. The kinetic of the structured model parameters went optimized through to methodology developed by Rivera (2005) where it involves the application of Genetic Algorithm, methodology of Plackett¿Burman (1946) and Algorithm Quasi Newton. The results obtained in the simulation of the model using the parameters optimized for this methodology represented in an effective way the model. The optimization of the process had I begin with the Analysis of Surface of Answer, that consisted of a planning fatorial in star of two levels (-1 and +1) with a central point. The methodology for Surface of Answer a powerful tool was shown for preliminary optimization of the operational variables in the sense that its results were used as initial estimates for the formal procedure of optimization, SQP. This methodology of answer Surface facilitates visualization of the behavior of the variables that if that otimizar, identifying the area of the great point, what is not possible for the method SQP. The methodology SQP was implemented with success in the model deterministic, obtaining the best operation conditions for the variables manipulated.
Doutorado
Desenvolvimento de Processos Químicos
Doutor em Engenharia Química
Khalid, Adeel S. "Development and Implementation of Rotorcraft Preliminary Design Methodology using Multidisciplinary Design Optimization". Diss., Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/14013.
Texto completoLo, Ming-Huang y 羅明煌. "Bayes estimate of the single factor quadratic response surface under the noninfmative prior". Thesis, 1995. http://ndltd.ncl.edu.tw/handle/47001337830263587154.
Texto completoLee, Chang Cha y 李長洽. "A Study of the Bayesian Estimation of the Stationary Point of Single Factor Quadratic Response Surface". Thesis, 1993. http://ndltd.ncl.edu.tw/handle/91597397214303533460.
Texto completo中原大學
工業工程研究所
81
The stationary point of a response surface function bears the location and magnitude coordinates of the maximum or minimum response value. In the context of industrial applications, the precise determination of the location parameter implies achievment of an optimal process settings rendering an optimal yield and minimal cost. In this research, we systematically consider nine different combinations of priors. It covers the range from completely non- informative, to partially informative and comprehensively informative, we develop the posterior distributions for the parameters of interest. We evaluate the marginal posterior distribution of concerned parameters through characteristic model. We use a set of observations and explore their point estimates and related statistics, namely posterior mean, mode, variance, and HPD. Both numerical and Gibbs sampling methods are used. We also carry out a robust analysis over different combinations of priors and also different hyperparameters setup. It's found that the priors which have thick tails or greater variance is more robust than the others. Besides, we compare the computing time between traditional numerical method and Gibbs sampling method. In acceptable precision, the computing time of numerical method is ten times of Gibbs sampling. It is therefore justified that the Gibbs sampling can be used as a good alternative of numerical method.
Dayal, Akshit. "Robust Optimization of Nanometer SRAM Designs". 2009. http://hdl.handle.net/1969.1/ETD-TAMU-2009-12-7589.
Texto completoCapítulos de libros sobre el tema "Quadratic Response Surface"
Enkhbat, Rentsen y Yadam Bazarsad. "General Quadratic Programming and Its Applications in Response Surface Analysis". En Springer Optimization and Its Applications, 121–37. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-0-387-89496-6_6.
Texto completoHuang, G., Y. Zhuge, T. Benn y Y. Liu. "Optimisation of Limestone Calcined Clay Cement Based on Response Surface Method". En Lecture Notes in Civil Engineering, 103–12. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-3330-3_13.
Texto completoGuo, Jiaxu, Shaowei Hu, Xuan Zhao, Xiu Tao y Ying Nie. "Compressive Strength Performance of Additives for Cement-Based Grouting Material with Low Water-Binder Ratio by Response Surface Methodology". En Lecture Notes in Civil Engineering, 368–79. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1260-3_34.
Texto completo"11. Quadratic Response Surface Models". En Analysis Messy Data ,Volume 2, 154–68. Boca Raton London New York Washington, D.C.: CRC Press, 1989. http://dx.doi.org/10.1201/9781315172194-12.
Texto completoZhang, Yang y Yue Wu. "Introducing Machine Learning Models to Response Surface Methodologies". En Response Surface Methodology in Engineering Science [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98191.
Texto completoJ. Zhang, Jian. "In Search of Optimal Laser Settings for Lithotripsy by Numerical Response Surfaces of Ablation and Retropulsion". En Response Surface Methodology in Engineering Science [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96271.
Texto completoN. Njoku, Chigoziri y Samuel K. Otisi. "Application of Central Composite Design with Design Expert v13 in Process Optimization". En Response Surface Methodology - Research Advances and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.109704.
Texto completoNathalal Dabhi, Mukesh. "Enzymatic Process for Pigeon Pea". En Legumes Research - Volume 1. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.100853.
Texto completoEsonye, Chizoo, Okechukwu Donminic Onukwuli, Akuzuo Uwaoma Ofoefule, Cyril Sunday Ume y Nkiruka Jacintha Ogbodo. "Sea Almond as a Promising Feedstock for Green Diesel: Statistical Optimization and Power Rate Law Based Chemical Kinetics of Its Consecutive Irreversible Methanolysis". En Prunus. IntechOpen, 2020. http://dx.doi.org/10.5772/intechopen.93880.
Texto completoActas de conferencias sobre el tema "Quadratic Response Surface"
Lee, Yongbin, Sunghun Jung y Dong-Hoon Choi. "Progressive Quadratic Response Surface Modeling Using Inherited Latin-Hypercube Design". En 11th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-7092.
Texto completoWahab, M. M. A., V. J. Kurian, M. S. Liew, Z. Nizamani y D. K. Kim. "Structural Reliability Analysis Using Quadratic Polynomial Response Surface and Finite Element in MATLAB". En ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/omae2016-54543.
Texto completoPerez, Victor, John Renaud y Layne Watson. "Reduced Sampling for Construction of Quadratic Response Surface Approximations Using Adaptive Experimental Design". En 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2002. http://dx.doi.org/10.2514/6.2002-1587.
Texto completoKorngold, Jacob C. y Gary A. Gabriele. "Multidisciplinary Analysis and Optimization of Discrete Problems Using Response Surface Methods". En ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0023.
Texto completoNorman, Narcrisha y Sonya Smith. "Reducing Large Viking I Based Martian Entry, Descent and Landing Response Surface Methodology Produced Quadratic Models". En 17th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2016. http://dx.doi.org/10.2514/6.2016-3997.
Texto completoMaofeng Yang, Hailong You, Xinzhang Jia y Dan Wang. "An Effective Method to Extract Probability Distribution of Circuit Performance Modeled by Quadratic Response Surface Model". En 2008 International Symposium on Information Science and Engineering (ISISE). IEEE, 2008. http://dx.doi.org/10.1109/isise.2008.212.
Texto completoTang, Xiao, Jiaqi Luo y Feng Liu. "Adjoint-Response Surface Method in Aerodynamic Shape Optimization of Turbomachinery Blades". En ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56170.
Texto completoSharma, Naveen, Vaibhav Sharma y Andallib Tariq. "Performance Optimization of Trapezium Rib Parameters Using Response Surface Methodology". En ASME 2017 Gas Turbine India Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/gtindia2017-4881.
Texto completoMansour, Rami y Mårten Olsson. "The Response Surface Single Loop Reliability-Based Design Optimization Method With Reliability Requirement on System Failure". En ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-60505.
Texto completoAzghani, M. R., F. Farahmand, A. Meghdari, F. Hakkak y M. Parnianpour. "Controllability and Maintenance of Human Trunk Response Surface for Isometric Extension Strength". En ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis. ASMEDC, 2010. http://dx.doi.org/10.1115/esda2010-24313.
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