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feed-forward back-propagation neural network model  (ANSYS inc)

 
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    ANSYS inc feed-forward back-propagation neural network model
    Feed Forward Back Propagation Neural Network Model, supplied by ANSYS inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/feed-forward+back-propagation+neural+network+model/feed+forward+back+propagation+neural+network+model/10__1016_slash_j__ast__2013__08__005-41-2-26
    Average 90 stars, based on 1 article reviews
    feed-forward back-propagation neural network model - by Bioz Stars, 2026-10
    90/100 stars

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    Article Title: On using neural networks in UAV structural design for CFD data fitting and classification
    Article Snippet: Contents lists available at ScienceDirect Aerospace Science and Technology www.elsevier.com/locate/aescte On using neural networks in UAV structural design for CFD data fitting and classification Farrukh Mazhar ∗,1, Abdul Munem Khan 2, Imran Ali Chaudhry 3, Mansoor Ahsan 3 National University of Sciences and Technology, H-12 Islamabad, Pakistan a r t i c l e i n f o a b s t r a c t Article history: Received 22 December 2012 Received in revised form 10 August 2013 Accepted 14 August 2013 Available online 29 August 2013 Keywords: Artificial neural networks (ANN) Aircraft structural design Unmanned aerial vehicle (UAV) Finite element analysis (FEM/FEA) Computational fluid dynamics (CFD) One way fluid–solid interaction (FSI) In this paper, we present a novel technique based upon artificial neural network (ANN), for applying aerodynamic pressure loads on the unmanned aerial vehicle (UAV) for the purpose of carrying out finite element (FE) analysis during its structural design process.. The objective of the work aims at carrying out one way fluid–solid interaction (FSI) for UAV structural design, in which aerodynamics loads obtained from Computational Fluid Dynamics (CFD) analysis are applied on the vehicle structure for steady-state static FE analysis.. CFD analysis of the UAV was performed using FLUENT® software.



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