Pages that link to "Item:Q1708845"

The following pages link to Multilayer feedforward networks are universal approximators (Q1708845):

Displaying 50 items.

• MgNet: a unified framework of multigrid and convolutional neural network (Q2316958) (← links)
• Clustering discretization methods for generation of material performance databases in machine learning and design optimization (Q2319387) (← links)
• Application of deep learning neural network to identify collision load conditions based on permanent plastic deformation of shell structures (Q2319402) (← links)
• A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation (Q2319404) (← links)
• A nonparametric ensemble binary classifier and its statistical properties (Q2322566) (← links)
• Neural networks applied to chain-ladder reserving (Q2323655) (← links)
• Machine learning approximation algorithms for high-dimensional fully nonlinear partial differential equations and second-order backward stochastic differential equations (Q2327815) (← links)
• The parameter Houlihan: a solution to high-throughput identifiability indeterminacy for brutally ill-posed problems (Q2328494) (← links)
• On a problem of Hornik (Q2354173) (← links)
• An application of mapping neural networks and a digital signal processor for cochlear neuroprostheses (Q2365828) (← links)
• A nonlinear manifold-based reduced order model for multiscale analysis of heterogeneous hyperelastic materials (Q2375093) (← links)
• Identification of a surface marine vessel using LS-SVM (Q2375671) (← links)
• An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring (Q2378444) (← links)
• Artificial neural network approaches for prediction of backwater through arched bridge constrictions (Q2379596) (← links)
• Annealing stochastic approximation Monte Carlo algorithm for neural network training (Q2384162) (← links)
• A comparison between Fama and French's model and artificial neural networks in predicting the Chinese stock market (Q2387268) (← links)
• Approximating the sheep milk production curve through the use of artificial neural networks and genetic algorithms (Q2387287) (← links)
• Fuzzy multilevel programming with a hybrid intelligent algorithm (Q2387382) (← links)
• The errors of approximation for feedforward neural networks in thelpmetric (Q2390185) (← links)
• Almost everywhere approximation capabilities of double Mellin approximate identity neural networks (Q2403275) (← links)
• Optimal switching between autonomous subsystems (Q2410781) (← links)
• MTN optimal control of MIMO non-affine nonlinear time-varying discrete systems for tracking only by output feedback (Q2416701) (← links)
• Financial system modeling using deep neural networks (DNNs) for effective risk assessment and prediction (Q2416723) (← links)
• A theory of cerebellar cortex and adaptive motor control based on two types of universal function approximation capability (Q2418119) (← links)
• Large data sets and machine learning: applications to statistical arbitrage (Q2424788) (← links)
• Mineral potential mapping using Bayesian learning for multilayer perceptrons (Q2425820) (← links)
• On the inference and approximation properties of belief rule based systems (Q2446396) (← links)
• Multi-stage ordinal optimization based approach for job shop scheduling problems (Q2449225) (← links)
• Editorial: Causality, prediction, and specification analysis: recent advances and future directions (Q2451796) (← links)
• Neural-network approximation of functions of several variables (Q2453379) (← links)
• Trim of rotorcraft multibody models using a neural-augmented model-predictive auto-pilot (Q2458289) (← links)
• Adaptive planning and tracking of trajectories for the simulation of maneuvers with multibody models (Q2459206) (← links)
• A tutorial on kernel methods for categorization (Q2466900) (← links)
• Parameter redundancy in neural networks: an application of Chebyshev polynomials (Q2468329) (← links)
• Assessing the effectiveness of artificial neural networks on problems related to elliptic curve cryptography (Q2470209) (← links)
• The estimation of simultaneous approximation order for neural networks (Q2470609) (← links)
• Gauss-integral based representation of protein structure for predicting the fold class from the sequence (Q2473103) (← links)
• Nonlinear multivariable adaptive control using multiple models and neural networks (Q2475471) (← links)
• Application of radial basis function and generalized regression neural networks in nonlinear utility function specification for travel mode choice modelling (Q2476117) (← links)
• Forecasting business profitability by using classification techniques: a comparative analysis based on a Spanish case (Q2485344) (← links)
• Exploiting Hessian matrix and trust-region algorithm in hyperparameters estimation of Gaussian process (Q2491022) (← links)
• Bayesian regularization neural networks for optimizing fluid flow processes (Q2494947) (← links)
• Mapping polynomial fitting into feedforward neural networks for modeling nonlinear dynamic systems and beyond (Q2495806) (← links)
• Algorithms and complexity in biological pattern formation problems (Q2498919) (← links)
• Nonasymptotic bounds on the \(L_{2}\) error of neural network regression estimates (Q2502135) (← links)
• Relevance of functional flexibility for heterogeneous sales response models: a comparison of parametric and semi-nonparametric models (Q2503072) (← links)
• Encapsulation of air vessel design in a neural network (Q2504431) (← links)
• Determining the number of real roots of polynomials through neural networks (Q2507014) (← links)
• Evolutionary product unit based neural networks for regression (Q2507304) (← links)
• Comparison of recent methods for inference of variable influence in neural networks (Q2507309) (← links)