hybrid nar-rbf neural network model (Nonlinear Dynamics)
90
Structured Review
Nonlinear Dynamics
hybrid nar-rbf neural network model
Hybrid Nar Rbf Neural Network Model, supplied by Nonlinear Dynamics, 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/hybrid+nar-rbf+neural+network+model/rbf+neural+network/10__1080_slash_02286203__2024__2338579-21-6-14
Average 90 stars, based on 1 article reviews
Hybrid Nar Rbf Neural Network Model, supplied by Nonlinear Dynamics, 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/hybrid+nar-rbf+neural+network+model/rbf+neural+network/10__1080_slash_02286203__2024__2338579-21-6-14
Average 90 stars, based on 1 article reviews
hybrid nar-rbf neural network model - by Bioz Stars,
2026-09
90/100 stars
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other:Article Title: A neural network approach to modeling magnetohydrodynamic stagnation point Ree-Eyring flow over a convectively heated stretched surface Article Snippet: This study investigates the application of artificial intelligence (AI) in fluid dynamics, mainly using a neural network trained by the Levenberg – Marquardt method (NN-BLMM), to model magnetohydrodynamic (MHD) stagnation point Ree – Eyring flow.. We focus on this flow over a convectively heated stretched surface by integrating the Cattaneo – Christov heat model.. The initial complex nonlinear partial differential equations (PDEs) are transformed into ordinary differential equations (ODEs) using suitable similarity variables. |