The following pages link to (Q4220209):
Displaying 21 items.
- Inverse problem with respect to domain and artificial neural network algorithm for the solution (Q410280) (← links)
- The universal approximation capabilities of double \(2\pi\)-periodic approximate identity neural networks (Q521720) (← links)
- On the capabilities of multilayer perceptrons (Q1105387) (← links)
- Approximating polynomial functions by feedforward artificial neural networks: Capacity analysis and design (Q1126664) (← links)
- Estimates of the approximation accuracy by means of superposition of potential functions. (Q1130113) (← links)
- Capability of neural networks in computing the outputs of dynamic systems with inputs defined on the whole space (Q1267747) (← links)
- An approach to structural approximation analysis by artificial neural networks (Q1337387) (← links)
- Approximation rates for neural networks with general activation functions (Q1982446) (← links)
- Optimization of neural network training for image recognition based on trigonometric polynomial approximation (Q2064396) (← links)
- On endomorphisms of the additive monoid of subnets of a two-layer neural network (Q2136318) (← links)
- The capacity of feedforward neural networks (Q2183684) (← links)
- Almost everywhere approximation capabilities of double Mellin approximate identity neural networks (Q2403275) (← links)
- Neural-network approximation of functions of several variables (Q2453379) (← links)
- Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos (Q2687674) (← links)
- The universal approximation theorem for complex-valued neural networks (Q2689134) (← links)
- A three layer neural network can represent any multivariate function (Q2697707) (← links)
- (Q4935515) (← links)
- (Q5371124) (← links)
- Physics-informed deep learning for melting heat transfer analysis with model-based transfer learning (Q6104889) (← links)
- A novel physics-informed deep learning strategy with local time-updating discrete scheme for multi-dimensional forward and inverse consolidation problems (Q6121797) (← links)
- On partial groupoids associated with the composition of multilayer feedforward neural networks (Q6663875) (← links)
