Pages that link to "Item:Q1708845"

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

Displaying 50 items.

• Representation and Extrapolation in Multilayer Perceptrons (Q3150015) (← links)
• A Quasi-ARMAX approach to modelling of non-linear systems (Q3151504) (← links)
• Aspects of neural modeling of multidimensional chaotic attractors (Q3155007) (← links)
• Estimating printed circuit board assembly times using neural networks (Q3163334) (← links)
• Adaptive fuzzy controller for non-affine systems with zero dynamics (Q3183745) (← links)
• DECISION TREES DO NOT GENERALIZE TO NEW VARIATIONS (Q3224352) (← links)
• Deep-Learning Solution to Portfolio Selection with Serially Dependent Returns (Q3295874) (← links)
• Adaptive regression estimation with multilayer feedforward neural networks (Q3369526) (← links)
• ReLU Networks Are Universal Approximators via Piecewise Linear or Constant Functions (Q3386431) (← links)
• Efficient Nonlinear Predictive Control Based on Structured Neural Models (Q3391475) (← links)
• A VECTOR MATRIX REAL TIME RECURSIVE BACKPROPAGATION ALGORITHM FOR RECURRENT NEURAL NETWORKS THAT APPROXIMATE MULTI-VALUED PERIODIC FUNCTIONS (Q3401065) (← links)
• Flash Flood Forecasting by Statistical Learning in the Absence of Rainfall Forecast: A Case Study (Q3405713) (← links)
• Investigation of the determinism of complex dynamical systems using simple back propagation neural networks (Q3423762) (← links)
• A SELF-ORGANIZING QUANTUM NEURAL FUZZY NETWORK AND ITS APPLICATIONS (Q3424271) (← links)
• Empirical prediction limit estimation methods for feed-forward neural networks (Q3426358) (← links)
• Testing for efficiency and non-linearity in market and natural time series (Q3426394) (← links)
• AN EMPIRICAL STUDY OF BOOSTED NEURAL NETWORK FOR PARTICLE CLASSIFICATION IN HIGH ENERGY COLLISIONS (Q3435305) (← links)
• A fast learning algorithm for training feedforward neural networks (Q3437455) (← links)
• Static and dynamic complex models: comparison and application to chemical systems (Q3451502) (← links)
• Direct adaptive control for a class of discrete‐time unknown nonaffine nonlinear systems using neural networks (Q3457586) (← links)
• Testing for Neglected Nonlinearity in Cointegrating Relationships (Q3505332) (← links)
• NEURAL NETWORKS FOR TECHNICAL ANALYSIS: A STUDY ON KLCI (Q3523527) (← links)
• Confirmation testing of the Taguchi methods by artificial neural-networks simulation (Q3527951) (← links)
• Deep, Narrow Sigmoid Belief Networks Are Universal Approximators (Q3536226) (← links)
• Simultaneous Approximations of Polynomials and Derivatives and Their Applications to Neural Networks (Q3536234) (← links)
• Minimization of Error Functionals over Perceptron Networks (Q3539962) (← links)
• Robust adaptive control of uncertain non-linear systems using neural networks (Q3543062) (← links)
• Adaptive neural network output feedback stabilization of nonlinear non-minimum phase systems (Q3552385) (← links)
• Tracking of multiple target types with a single neural extended Kalman filter (Q3560253) (← links)
• How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality (Q3562856) (← links)
• A Measurement Fusion Method for Nonlinear System Identification Using a Cooperative Learning Algorithm (Q3593964) (← links)
• Automated reverse engineering of nonlinear dynamical systems (Q3615247) (← links)
• Neural networks for variational problems in engineering (Q3619739) (← links)
• Neural network-based adaptive control of piezoelectric actuators with unknown hysteresis (Q3632993) (← links)
• (Q3637549) (← links)
• Numerical Solution of the Game of Two Cars with a Neurosimulator and Grid Computing (Q3646713) (← links)
• Neural net based model predictive control (Q3982006) (← links)
• Adaptive control of nonlinear systems using neural networks (Q4013279) (← links)
• Neural-net computing and the intelligent control of systems (Q4020047) (← links)
• Multilayer feedforward neural networks: a canonical form approximation of nonlinearity (Q4020181) (← links)
• Indentifying attributes for knowledge-based development in dynamic scheduling environments (Q4230179) (← links)
• Neural adaptive control of nonlinear plants via a multiple inverse model approach (Q4262405) (← links)
• A new decoupling design of self-tuning multivariable generalized predictive control (Q4262785) (← links)
• (Q4281778) (← links)
• Neural‐network‐based approximations for solving partial differential equations (Q4294523) (← links)
• Model reference control of non-linear systems via implicit function emulation (Q4304710) (← links)
• Back-propagation neural-network based fuzzy controller with a self-learning teacher (Q4304713) (← links)
• Neural Networks for Localized Approximation (Q4317663) (← links)
• Approximation Capability of Layered Neural Networks with Sigmoid Units on Two Layers (Q4323349) (← links)
• Inversion of multilayer neural network with modelling error compensation (Q4355358) (← links)