FRACTIONAL MAYER NEURO-SWARM HEURISTIC SOLVER FOR MULTI-FRACTIONAL ORDER DOUBLY SINGULAR MODEL BASED ON LANE–EMDEN EQUATION

DOI10.1142/S0218348X2140017XzbMath1481.65104OpenAlexW3120135901MaRDI QIDQ5023990

Dumitru Baleanu, Muhammad Asif Zahoor Raja, Zulqurnain Sabir

Publication date: 28 January 2022

Published in: Fractals (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s0218348x2140017x

zbMATH Keywords

singular systemsartificial neural networksparticle swarm optimizationinterior programmingLane-Emden multi-fractional modelMayer wavelet neural systems

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Numerical methods for initial value problems involving ordinary differential equations (65L05)

Related Items (11)

SHIFTED LEGENDRE FRACTIONAL PSEUDOSPECTRAL DIFFERENTIATION MATRICES FOR SOLVING FRACTIONAL DIFFERENTIAL PROBLEMS ⋮ Meyer wavelet neural networks to solve a novel design of fractional order pantograph Lane-Emden differential model ⋮ APPLICATIONS OF GUDERMANNIAN NEURAL NETWORK FOR SOLVING THE SITR FRACTAL SYSTEM ⋮ Swarming optimization to analyze the fractional derivatives and perturbation factors for the novel singular model ⋮ COMPUTATIONAL PERFORMANCES OF MORLET WAVELET NEURAL NETWORK FOR SOLVING A NONLINEAR DYNAMIC BASED ON THE MATHEMATICAL MODEL OF THE AFFECTION OF LAYLA AND MAJNUN ⋮ Heuristic computing with sequential quadratic programming for solving a nonlinear hepatitis B virus model ⋮ MEYER WAVELET NEURAL NETWORKS PROCEDURES TO INVESTIGATE THE NUMERICAL PERFORMANCES OF THE COMPUTER VIRUS SPREAD WITH KILL SIGNALS ⋮ Asymptotical outer synchronization control of the complex dynamical networks via unknown interaction and links dynamics ⋮ Neuro-swarm heuristic using interior-point algorithm to solve a third kind of multi-singular nonlinear system ⋮ GUDERMANNIAN NEURAL NETWORKS TO INVESTIGATE THE LIÉNARD DIFFERENTIAL MODEL ⋮ Stochastic numerical investigations for nonlinear three-species food chain system

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