Gotowa bibliografia na temat „Constraint weighting”
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Artykuły w czasopismach na temat "Constraint weighting"
Zhang, Jie. "Constraint weighting and constraint domination: a formal comparison". Phonology 24, nr 3 (30.11.2007): 433–59. http://dx.doi.org/10.1017/s0952675707001285.
Pełny tekst źródłaGillett, Nathan P. "Weighting climate model projections using observational constraints". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 373, nr 2054 (13.11.2015): 20140425. http://dx.doi.org/10.1098/rsta.2014.0425.
Pełny tekst źródłaBuatoom, Uraiwan, Waree Kongprawechnon i Thanaruk Theeramunkong. "Document Clustering Using K-Means with Term Weighting as Similarity-Based Constraints". Symmetry 12, nr 6 (6.06.2020): 967. http://dx.doi.org/10.3390/sym12060967.
Pełny tekst źródłaJing, Hao, James Pinchin, Chris Hill i Terry Moore. "An Adaptive Weighting based on Modified DOP for Collaborative Indoor Positioning". Journal of Navigation 69, nr 2 (23.09.2015): 225–45. http://dx.doi.org/10.1017/s037346331500065x.
Pełny tekst źródłaChien, Wei, Chien-Ching Chiu, Po-Hsiang Chen, Yu-Ting Cheng, Eng Hock Lim, Yue-Li Liang i Jia-Rui Wang. "Different Object Functions for SWIPT Optimization by SADDE and APSO". Symmetry 13, nr 8 (24.07.2021): 1340. http://dx.doi.org/10.3390/sym13081340.
Pełny tekst źródłaXie, Minghua, Lili Xie i Peidong Zhu. "An Efficient Feature Weighting Method for Support Vector Regression". Mathematical Problems in Engineering 2021 (2.03.2021): 1–7. http://dx.doi.org/10.1155/2021/6675218.
Pełny tekst źródłaZhu, Hancan, i Guanghua He. "Joint Neighboring Coding with a Low-Rank Constraint for Multi-Atlas Based Image Segmentation". Journal of Medical Imaging and Health Informatics 10, nr 2 (1.02.2020): 310–15. http://dx.doi.org/10.1166/jmihi.2020.2884.
Pełny tekst źródłaZhao, Qingzhi, Yibin Yao i Wanqiang Yao. "A troposphere tomography method considering the weighting of input information". Annales Geophysicae 35, nr 6 (13.12.2017): 1327–40. http://dx.doi.org/10.5194/angeo-35-1327-2017.
Pełny tekst źródłaKimmel, Melanie, Jannick Pfort, Jan Wöhlke i Sandra Hirche. "Shared invariance control for constraint satisfaction in multi-robot systems". International Journal of Robotics Research 38, nr 10-11 (12.08.2019): 1268–85. http://dx.doi.org/10.1177/0278364919867133.
Pełny tekst źródłaYin, Fulian, Lu Lu, Jianping Chai i Yanbing Yang. "Combination Weighting Method Based on Maximizing Deviations and Normalized Constraint Condition". International Journal of Security and Its Applications 10, nr 2 (28.02.2016): 39–50. http://dx.doi.org/10.14257/ijsia.2016.10.2.04.
Pełny tekst źródłaRozprawy doktorskie na temat "Constraint weighting"
Thornton, John Richard, i n/a. "Constraint Weighting Local Search for Constraint Satisfaction". Griffith University. School of Computing and Information Technology, 2000. http://www4.gu.edu.au:8080/adt-root/public/adt-QGU20050901.142439.
Pełny tekst źródłaRui-BinZhang i 張睿彬. "Tracker-Design for the Unknown System with an Input-Output Feed-Through Term and Constraints: An Adaptive Mechanism for Tuning Weighting Matrices". Thesis, 2014. http://ndltd.ncl.edu.tw/handle/9qxngz.
Pełny tekst źródła國立成功大學
電機工程學系
102
An observer/Kalman filter identification (OKID) method-based adaptive mechanism for tuning weighting matrices of multi-objective cost function is newly proposed in this thesis. An efficient algorithm is newly derived for the new tracker-design for the unknown system with an input-output feed-through term and input/state/output constraints. First, the unknown linear/nonlinear system containing an input-output feed-through term is identified by the observer/Kalman filter identification (OKID) method to have the equivalent mathematical model, then the controller is analyzed and designed by the equivalent mathematical model. The linear analogue quadratic performance index is modified to contain the term of input, state, and output constraints. The linear analogue quadratic performance index with input, state, and output constraints can be directly discretized into an equivalent discrete function, so that the obtained quadratic sub-optimal digital tracker can preserve the performance of the linear analogue quadratic performance index. In order to make the exceeding input, state and output update quickly and accurately, an OKID-based adaptive mechanism for tuning the weighting matrices is constructed. Finally, an OKID-based adaptive mechanism for tuning weighting matrices of the new tracker-design for the unknown system with an input-output feed-through term and input, state, and output constraints is proposed.Examples show the usefulness of the proposed design.
Książki na temat "Constraint weighting"
Jarosz, Gaja. Learning with Violable Constraints. Redaktorzy Jeffrey L. Lidz, William Snyder i Joe Pater. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199601264.013.30.
Pełny tekst źródłaCzęści książek na temat "Constraint weighting"
Thornton, John, i Abdul Sattar. "Dynamic constraint weighting for over-constrained problems". W PRICAI’98: Topics in Artificial Intelligence, 377–88. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/bfb0095285.
Pełny tekst źródłaThornton, John, i Abdul Sattar. "On the Behavior and Application of Constraint Weighting". W Principles and Practice of Constraint Programming – CP’99, 446–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-540-48085-3_32.
Pełny tekst źródłaKotsakis, C. "Reference Station Weighting and Frame Optimality in Minimally Constrained Networks". W VIII Hotine-Marussi Symposium on Mathematical Geodesy, 221–26. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/1345_2015_139.
Pełny tekst źródłaFörstner, Wolfgang. "On Weighting and Choosing Constraints for Optimally Reconstructing the Geometry of Image Triplets". W Lecture Notes in Computer Science, 669–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45053-x_43.
Pełny tekst źródła"22. Linear Least Squares with Linear Equality Constraints by Weighting". W Solving Least Squares Problems, 148–57. Society for Industrial and Applied Mathematics, 1995. http://dx.doi.org/10.1137/1.9781611971217.ch22.
Pełny tekst źródłaMathys, Christoph. "How Could We Get Nosology from Computation?" W Computational Psychiatry. The MIT Press, 2016. http://dx.doi.org/10.7551/mitpress/9780262035422.003.0007.
Pełny tekst źródłados Santos, José Gomes, Liliana Raquel Simões Azevedo i Luís Carlos Roseiro Leitão. "Spotting Premium Hot Spots for Urban Tourism Based on Facebook and Foursquare Data Using VGI and GIS". W Methods and Applications of Geospatial Technology in Sustainable Urbanism, 159–86. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-2249-3.ch006.
Pełny tekst źródłaStreszczenia konferencji na temat "Constraint weighting"
Wattez, Hugues, Christophe Lecoutre, Anastasia Paparrizou i Sebastien Tabary. "Refining Constraint Weighting". W 2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019. http://dx.doi.org/10.1109/ictai.2019.00019.
Pełny tekst źródłaTaniguchi, Naokazu, Chen-Fen Huang, Xiao-Hua Zhu i Chuanzheng Zhang. "Horizontal ocean current tomography with iterative model weighting constraint". W OCEANS 2014 - TAIPEI. IEEE, 2014. http://dx.doi.org/10.1109/oceans-taipei.2014.6964415.
Pełny tekst źródłaWang, J. Y., i J. K. Wu. "Nonholonomic Constrain Models for Recursive Dynamic Analysis". W ASME 1990 Design Technical Conferences. American Society of Mechanical Engineers, 1990. http://dx.doi.org/10.1115/detc1990-0056.
Pełny tekst źródłaLing, Yongguo, Zhiming Luo, Yaojin Lin i Shaozi Li. "A Multi-Constraint Similarity Learning with Adaptive Weighting for Visible-Thermal Person Re-Identification". W Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/117.
Pełny tekst źródłaJin, Ming, Youming Li i Xiaoli Wang. "Joint Thinned Array and Weighting Design Method to Reduce Sidelobe Using L1 Norm Constraint". W 2011 7th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM). IEEE, 2011. http://dx.doi.org/10.1109/wicom.2011.6040081.
Pełny tekst źródłaAn, J. F. "Optimal pre-weighting scheme for spatially correlated MIMO-OFDM wireless system with subcarrier cluster constraint". W 2013 International Conference on Computing, Networking and Communications (ICNC 2013). IEEE, 2013. http://dx.doi.org/10.1109/iccnc.2013.6504173.
Pełny tekst źródłaDoki, Hitoshi, Kazuhiko Hiramoto, Jun Kaido i Robert E. Skelton. "Actuator Selection for Vibration Control With Control Energy Constraints". W ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-3832.
Pełny tekst źródłaTang, Lei, Wei Xu, Xiaoguang Wang, Xinyu Xiao, Dinghao Dong i Yunhong Zhang. "Predictive Thrust Control without Optimal Weighting Factor Based on Robust Primary Flux Constraint for Linear Induction Machine". W 2021 13th International Symposium on Linear Drives for Industry Applications (LDIA). IEEE, 2021. http://dx.doi.org/10.1109/ldia49489.2021.9505901.
Pełny tekst źródłaAghili, Farhad. "Invariant Modeling of Mechanical Systems in Terms of Quasi-Velocities and Quasi-Forces". W ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-86349.
Pełny tekst źródłaYim, Woosoon, i Sahjendra N. Singh. "End Point Control of Nonlinear Flexible Manipulators With Control Constraint Using SDRE Method". W ASME 2002 International Mechanical Engineering Congress and Exposition. ASMEDC, 2002. http://dx.doi.org/10.1115/imece2002-33126.
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