Pages that link to "Item:Q1198659"
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The following pages link to Feedforward nets for interpolation and classification (Q1198659):
Displaying 33 items.
- Approximation by max-product neural network operators of Kantorovich type (Q287317) (← links)
- Constructive approximate interpolation by neural networks in the metric space (Q623074) (← links)
- Polynomial bounds for VC dimension of sigmoidal and general Pfaffian neural networks (Q676431) (← links)
- Neural networks with quadratic VC dimension (Q676433) (← links)
- On the computation of Boolean functions by analog circuits of bounded fan-in (Q676434) (← links)
- Prediction of missed number from pin code of ATM card with back propagation method of artificial neural network (Q814708) (← links)
- Constructive approximate interpolation by neural networks (Q817488) (← links)
- Interpolation and rates of convergence for a class of neural networks (Q840184) (← links)
- Hermite interpolation by neural networks (Q990455) (← links)
- Vapnik-Chervonenkis dimension of recurrent neural networks (Q1265745) (← links)
- Exact classification with two-layer neural nets in \(n\) dimensions (Q1382251) (← links)
- Approximate testing and its relationship to learning (Q1389650) (← links)
- Transfer theorems via sign conditions (Q1603522) (← links)
- Minimal perceptrons for memorizing complex patterns (Q1619854) (← links)
- Neural network operators: constructive interpolation of multivariate functions (Q1669090) (← links)
- Estimation of software reliability with execution time model using the pattern mapping technique of artificial neural network (Q1886740) (← links)
- Bounding the Vapnik-Chervonenkis dimension of concept classes parameterized by real numbers (Q1900973) (← links)
- Critical points for least-squares problems involving certain analytic functions, with applications to sigmoidal nets (Q1923891) (← links)
- Pointwise and uniform approximation by multivariate neural network operators of the max-product type (Q2418225) (← links)
- On approximate learning by multi-layered feedforward circuits (Q2581366) (← links)
- Max-product neural network and quasi-interpolation operators activated by sigmoidal functions (Q2630379) (← links)
- Minimal feedforward parity networks using threshold gates (Q2708445) (← links)
- On the complexity of computing and learning with multiplicative neural networks (Q2780854) (← links)
- Convergence for a family of neural network operators in Orlicz spaces (Q2965304) (← links)
- Neural Network Deinterlacing Using Multiple Fields (Q3063216) (← links)
- Shattering All Sets of <i>‘k’</i> Points in “General Position” Requires (<i>k</i> — 1)/2 Parameters (Q3125238) (← links)
- Neural Nets with Superlinear VC-Dimension (Q4323332) (← links)
- Training a Single Sigmoidal Neuron Is Hard (Q4409384) (← links)
- Universal Approximation Capability of Cascade Correlation for Structures (Q4678448) (← links)
- Valid Generalisation from Approximate Interpolation (Q4715266) (← links)
- Recurrent Neural Networks with Small Weights Implement Definite Memory Machines (Q4814203) (← links)
- (Q5205541) (← links)
- Neural network interpolation operators optimized by Lagrange polynomial (Q6077041) (← links)
