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Y. A. Laylani, K. K. Abbo, and H. M. Khudhur, Training feed forward neural network with modified Fletcher-Reeves method, Journal of Multidisciplinary Modeling and Optimization, 1(1) 2018, 14–22.
A. Antoniou and W.-S. Lu, Practical Optimization: Algorithms and Engineering Applications. Springer Science & Business Media, 2007.
J. Nocedal and S. Wright, Numerical Optimization. Springer Science & Business Media, 2006.
E. Polak and G. Ribiere, “Note sur la convergence de méthodes de directions conjuguées,” ESAIM Math. Model. Numer. Anal. Mathématique Anal. Numérique, 3(R1) 1969, 35-43.
M. R. Hestenes and E. Stiefel, Methods of conjugate gradients for solving linear systems, J. Res. Nat. Bur. Stand.,49 (1) 1952, 409-436.
R. Fletcher and C. M. Reeves, Function minimization by conjugate gradients, Comput. J., 7(2) 1964, 149-154.
Y. H. Dai and Y. Yuan, A nonlinear conjugate gradient method with a strong global convergence property, SIAM J. Optim., 10(1) 1999, 177-182.
L. C. W. Dixon, Conjugate gradient algorithms: quadratic termination without linear searches, IMA J. Appl. Math., 15(1) 1975, 9-18.
K. K. Abbo and H. M. Khudhur, New A hybrid conjugate gradient Fletcher-Reeves and Polak-Ribiere algorithm for unconstrained optimization, Tikrit J. Pure Sci., 21(1) 2015, 124-129.
H. N. Jabbar, K. K. Abbo, and H. M. Khudhur, “Four--term conjugate gradient (CG) method based on pure conjugacy condition for unconstrained optimization,” Kirkuk Univ. J. Sci. Stud., 13(2) 2018, 101–113.
K. K. Abbo and H. M. Khudhur, New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization, Tikrit J. Pure Sci., 21(1) 2015, 118–123.
Z. M. Abdullah, M. Hameed, M. K. Hisham, and M. A. Khaleel, Modified new conjugate gradient method for Unconstrained Optimization, Tikrit J. Pure Sci., 24(5) 2019, 86–90.
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Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks
Year 2021,
Volume: 4 Issue: 1, 11 - 18, 03.01.2022
In this research, we have developed a new algorithm in the field of optimiza-tion and its application in teaching artificial neural networks with front feeding to predict the risk of car accidents due to consuming alcoholic beverages, and the algorithm has proven a high efficiency in prediction as it was compared with the results of the model predicting the risk of car accidents due to eating Given alco-hol and the results were very close to the true solution to the model
K. Abbo and M. S Jaborry, Learning rate for the back propagation algorithm based on modified scant equation, Iraqi J. Stat. Sci., 14(26) 2014, 1–11.
Y. A. Laylani, K. K. Abbo, and H. M. Khudhur, Training feed forward neural network with modified Fletcher-Reeves method, Journal of Multidisciplinary Modeling and Optimization, 1(1) 2018, 14–22.
A. Antoniou and W.-S. Lu, Practical Optimization: Algorithms and Engineering Applications. Springer Science & Business Media, 2007.
J. Nocedal and S. Wright, Numerical Optimization. Springer Science & Business Media, 2006.
E. Polak and G. Ribiere, “Note sur la convergence de méthodes de directions conjuguées,” ESAIM Math. Model. Numer. Anal. Mathématique Anal. Numérique, 3(R1) 1969, 35-43.
M. R. Hestenes and E. Stiefel, Methods of conjugate gradients for solving linear systems, J. Res. Nat. Bur. Stand.,49 (1) 1952, 409-436.
R. Fletcher and C. M. Reeves, Function minimization by conjugate gradients, Comput. J., 7(2) 1964, 149-154.
Y. H. Dai and Y. Yuan, A nonlinear conjugate gradient method with a strong global convergence property, SIAM J. Optim., 10(1) 1999, 177-182.
L. C. W. Dixon, Conjugate gradient algorithms: quadratic termination without linear searches, IMA J. Appl. Math., 15(1) 1975, 9-18.
K. K. Abbo and H. M. Khudhur, New A hybrid conjugate gradient Fletcher-Reeves and Polak-Ribiere algorithm for unconstrained optimization, Tikrit J. Pure Sci., 21(1) 2015, 124-129.
H. N. Jabbar, K. K. Abbo, and H. M. Khudhur, “Four--term conjugate gradient (CG) method based on pure conjugacy condition for unconstrained optimization,” Kirkuk Univ. J. Sci. Stud., 13(2) 2018, 101–113.
K. K. Abbo and H. M. Khudhur, New A hybrid Hestenes-Stiefel and Dai-Yuan conjugate gradient algorithms for unconstrained optimization, Tikrit J. Pure Sci., 21(1) 2015, 118–123.
Z. M. Abdullah, M. Hameed, M. K. Hisham, and M. A. Khaleel, Modified new conjugate gradient method for Unconstrained Optimization, Tikrit J. Pure Sci., 24(5) 2019, 86–90.
B. Y. Al-Khayat, Introduction to Mathematical Modeling Using MATLAB, Dar Ibn Al-Atheer for Printing and Publication University of Mosul, Mosul, 2012.
Saad, A., & Mohammed, H. (2022). Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks. Journal of Multidisciplinary Modeling and Optimization, 4(1), 11-18.
AMA
Saad A, Mohammed H. Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks. jmmo. January 2022;4(1):11-18.
Chicago
Saad, Alla, and Hisham Mohammed. “Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks”. Journal of Multidisciplinary Modeling and Optimization 4, no. 1 (January 2022): 11-18.
EndNote
Saad A, Mohammed H (January 1, 2022) Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks. Journal of Multidisciplinary Modeling and Optimization 4 1 11–18.
IEEE
A. Saad and H. Mohammed, “Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks”, jmmo, vol. 4, no. 1, pp. 11–18, 2022.
ISNAD
Saad, Alla - Mohammed, Hisham. “Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks”. Journal of Multidisciplinary Modeling and Optimization 4/1 (January 2022), 11-18.
JAMA
Saad A, Mohammed H. Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks. jmmo. 2022;4:11–18.
MLA
Saad, Alla and Hisham Mohammed. “Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks”. Journal of Multidisciplinary Modeling and Optimization, vol. 4, no. 1, 2022, pp. 11-18.
Vancouver
Saad A, Mohammed H. Developing a New Optimization Algorithm to Predict the Risk of Car Accidents Due to Drinking Alcoholic Drinks by Using Feed-Forward Artificial Neural Networks. jmmo. 2022;4(1):11-8.