Theoretical Study of Neural Network Models: Error Bounds on Approximation, Generalization, and Optimization With Applications to Regression and Partial Differential Equations

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Publié dans:	PQDT - Global (2025)
Auteur principal:	Lai, Yanming
Publié:	ProQuest Dissertations & Theses
Sujets:	Language Machine learning Sample size Neurons Partial differential equations Deep learning Investigations Artificial intelligence Network management systems Computer vision Power Neural networks Brain Numerical analysis Eigenvalues Natural language processing Error analysis Boundary conditions Optimization algorithms Data compression Mathematics
Accès en ligne:	Citation/Abstract Full Text - PDF Full text outside of ProQuest
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