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Disambiguation of "Raja, Muhammad Asif Zahoor"

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Neural network methods to solve the Lane-Emden type equations arising in thermodynamic studies of the spherical gas cloud model.

, , , and . Neural Computing and Applications, 28 (S-1): 929-944 (2017)

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Nivethika Rajaram University of Stuttgart

Daniel Raja-Nigl University of Stuttgart

Muhammad Shahrukh Saeed University of Stuttgart

Muhammad Khubaib ul Hassan Khan University of Stuttgart

 

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Numerical treatment for boundary value problems of Pantograph functional differential equation using computational intelligence algorithms.. Appl. Soft Comput., (2014)Bio-inspired heuristics for layer thickness optimization in multilayer piezoelectric transducer for broadband structures., , , , , and . Soft Comput., 23 (10): 3449-3463 (2019)Nature-inspired computational intelligence integration with Nelder-Mead method to solve nonlinear benchmark models., , , , and . Neural Computing and Applications, 29 (4): 1169-1193 (2018)Fractional neural network models for nonlinear Riccati systems., , and . Neural Computing and Applications, 31 (S-1): 359-378 (2019)A new adaptive strategy to improve online secondary path modeling in active noise control systems using fractional signal processing approach., and . Signal Processing, (2015)Design of unsupervised fractional neural network model optimized with interior point algorithm for solving Bagley-Torvik equation., , , and . Mathematics and Computers in Simulation, (2017)A new stochastic approach for solution of Riccati differential equation of fractional order., , and . Ann. Math. Artif. Intell., 60 (3-4): 229-250 (2010)Numerical treatment for nonlinear MHD Jeffery-Hamel problem using neural networks optimized with interior point algorithm., and . Neurocomputing, (2014)Evolutionary Computational Intelligence in Solving the Fractional Differential Equations., , and . ACIIDS (1), volume 5990 of Lecture Notes in Computer Science, page 231-240. Springer, (2010)Novel computing paradigms for parameter estimation in power signal models., , , and . Neural Comput. Appl., 32 (10): 6253-6282 (2020)