A Group Lock algorithm, with Applications by Dimitrovsky, Isaac; published by New York: Courant Institute of Mathematical Sciences, New York University
A Group Lock algorithm, with Applications by Dimitrovsky, Isaac; published by New York: Courant Institute of Mathematical Sciences, New York University
Legionnaires' Disease Case-Finding algorithm, Attack Rates, and Risk Factors During a Residential Outbreak Among Older Adults: an Environmental and Cohort Study. by Silk, Benjamin J; Foltz, Jennifer L; Ngamsnga, K...
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Legionnaires' Disease Case-Finding algorithm, Attack Rates, and Risk Factors During a Residential Outbreak Among Older Adults: an Environmental and Cohort Study. by Silk, Benjamin J; Foltz, Jennifer L; Ngamsnga, Kompan; Brown, Ellen; Munoz, Mary Grace; Hampton, Lee M; Jacobs-Slifka, Kara; Kozak, Natalia A; Underwood, J Michael; Krick, John; Travis, Tatiana; Farrow, Olivia; Fields, Barry S; Blythe, David; Hicks, Lauri A; published by
NASA Technical Reports Server (Ntrs) 19940008335: Adaptively Resizing Populations: algorithm, Analysis, and First Results by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19940008335: Adaptively Resizing Populations: algorithm, Analysis, and First Results by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 20030025292: a Nonlinear, Six-Degree of Freedom Precision Formation Control algorithm, Based on Restricted Three Body Dynamics by NASA Technical Reports Server (Ntrs); NASA Technic...
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NASA Technical Reports Server (Ntrs) 20030025292: a Nonlinear, Six-Degree of Freedom Precision Formation Control algorithm, Based on Restricted Three Body Dynamics by NASA Technical Reports Server (Ntrs); NASA Technical Reports Server (Ntrs); published by
Principles of Applied Mathematics - 25. Strassen's Fast Multiplication of Matrices algorithm, and Spreadsheet Matrix Multiplications by Daniel Kleitman; Peter Shor; published by *** on Behalf of the Author
Principles of Applied Mathematics - 25. Strassen's Fast Multiplication of Matrices algorithm, and Spreadsheet Matrix Multiplications by Daniel Kleitman; Peter Shor; published by *** on Behalf of the Author
NASA Technical Reports Server (Ntrs) 19840019180: Heat Capacity Mapping Radiometer (Hcmr) Data Processing algorithm, Calibration, and Flight Performance Evaluation by NASA Technical Reports Server (Ntrs); published by
NASA Technical Reports Server (Ntrs) 19840019180: Heat Capacity Mapping Radiometer (Hcmr) Data Processing algorithm, Calibration, and Flight Performance Evaluation by NASA Technical Reports Server (Ntrs); published by
After introducing the mechanical structure and working principle of electric power steering （EPS）, theEPS dynamic model and the state space equation are established. Based on this model, a PID genetic algorithmcontr...
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After introducing the mechanical structure and working principle of electric power steering （EPS）, theEPS dynamic model and the state space equation are established. Based on this model, a PID genetic algorithmcontrol strategy for EPS is put forward, i.e. , use the powerful search ability of genetic algorithm to optimize theparameters of the PID controller, the PID controller can achieve a better control effect. By using Matlab/Simulinksimulation and analysis, the simulation results show that the control strategy makes EPS fast response and stableoutput, the performance has been effectively improved. Therefore, it has laid the theoretical foundation to developproducts.
The advantages and disadvantages of genetic algorithm and BP algorithm are introduced. A neural network based on GA-BP algorithm is proposed and applied in the prediction of protein secondary structure, which combines...
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The advantages and disadvantages of genetic algorithm and BP algorithm are introduced. A neural network based on GA-BP algorithm is proposed and applied in the prediction of protein secondary structure, which combines the advantages of BP and GA. The prediction and training on the neural network are made respectively based on 4 structure classifications of protein so as to get higher rate of predication---the highest prediction rate 75.65%,the average prediction rate 65.04%.
This paper discusses the maximum likelihood estimate of β under linear inequalities A0β≥ a in a linear model with missing data, proposes the restricted EM algo rithm and proves the convergence.
This paper discusses the maximum likelihood estimate of β under linear inequalities A0β≥ a in a linear model with missing data, proposes the restricted EM algo rithm and proves the convergence.
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