Pages that link to "Item:Q2675943"
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The following pages link to Quantitative estimates for neural network operators implied by the asymptotic behaviour of the sigmoidal activation functions (Q2675943):
Displaying 7 items.
- Approximation by network operators with logistic activation functions (Q299680) (← links)
- Lipschitz Certificates for Layered Network Structures Driven by Averaged Activation Operators (Q5027040) (← links)
- Approximation results by multivariate Kantorovich-type neural network sampling operators in Lebesgue spaces with variable exponents (Q6562343) (← links)
- Construction and approximation rate for feedforward neural network operators with sigmoidal functions (Q6591537) (← links)
- Best approximation and inverse results for neural network operators (Q6595826) (← links)
- Exponential Sampling Type Kantorovich Max-Product Neural Network Operators (Q6648806) (← links)
- Asymptotic analysis of neural network operators employing the Hardy-Littlewood maximal inequality (Q6649179) (← links)
