Biologically inspired computing framework for solving two-point boundary value problems using differential evolution

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Design of artificial neural network models optimized with sequential quadratic programming to study the dynamics of nonlinear Troesch’s problem arising in plasma physics

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Q57600066-07F3E982-DE9D-4401-A8EC-5BCF27C13C7C

P2860

Biologically inspired computing framework for solving two-point boundary value problems using differential evolution

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http://www.wikidata.org/entity/Q57600127

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wetenschappelijk artikel

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наукова стаття, опублікована в січні 2016

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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Biologically inspired computin ...... s using differential evolution

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P2093

Muhammad Faisal Fateh

http://www.w3.org/2001/XMLSchema#string

Nasir M. Mirza

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Sikander M. Mirza

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Topology and static response of interaction networks in molecular biology

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Exactly satisfying initial conditions neural network models for numerical treatment of first Painlevé equation

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Stochastic numerical treatment for solving Troesch’s problem

Solution of the 2-dimensional Bratu problem using neural network, swarm intelligence and sequential quadratic programming

Solution of the one-dimensional Bratu equation arising in the fuel ignition model using ANN optimised with PSO and SQP

Numerical treatment of nonlinear MHD Jeffery–Hamel problems using stochastic algorithms

Numerical treatment for nonlinear MHD Jeffery–Hamel problem using neural networks optimized with interior point algorithm

Unsupervised neural networks for solving Troesch's problem

P2888

s00521-016-2185-z

P304

2165-2179

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P31

scholarly article

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10.1007/S00521-016-2185-Z

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P433

http://www.w3.org/2001/XMLSchema#string

P478

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Muhammad Asif Zahoor Raja

Aneela Zameer

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2016-01-19T00:00:00Z

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Biologically inspired computing framework for solving two-point boundary value problems using differential evolution

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P2860

P2860

Biologically inspired computing framework for solving two-point boundary value problems using differential evolution

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P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577

P356

P1433

P1476

P2093

P2860

P2888

P304

P31

P356

P433

P478

P50

P577