Pages that link to "Item:Q1708845"

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

Displaying 50 items.

• Constructive approximate interpolation by neural networks (Q817488) (← links)
• Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space (Q825596) (← links)
• Neural networks in financial trading (Q829154) (← links)
• Application of ANN techniques for estimating modal damping of impact-damped flexible beams (Q833620) (← links)
• Application of ANN techniques for estimating backwater through bridge constrictions in Mississippi River basin (Q833637) (← links)
• Comparison of artificial neural network and fuzzy logic models for prediction of long-term compressive strength of silica fume concrete (Q834224) (← links)
• Lower estimation of approximation rate for neural networks (Q848260) (← links)
• A real-time road pricing system: the case of a two-link parallel network (Q850306) (← links)
• Training a reciprocal-sigmoid classifier by feature scaling-space (Q851878) (← links)
• Feedback approximation of the stochastic growth model by genetic neural networks (Q853580) (← links)
• Aero-servo-elastic modeling and control of wind turbines using finite-element multibody procedures (Q854798) (← links)
• Experimental studies of a generalized neuron based adaptive power system stabilizer (Q855235) (← links)
• Robust neural modeling for the cross-sectional analysis of accounting information (Q856316) (← links)
• Neural networks and seasonality: Some technical considerations (Q858436) (← links)
• Numerical solution for high order differential equations using a hybrid neural network-optimization method (Q864765) (← links)
• Probability of local bifurcation type from a fixed point: a random matrix perspective (Q867703) (← links)
• Studying the performance of artificial neural networks on problems related to cryptography (Q867941) (← links)
• Recurrent neuro-fuzzy hybrid-learning approach to accurate system modeling (Q868300) (← links)
• A hybrid particle swarm optimization-back-propagation algorithm for feedforward neural network training (Q872357) (← links)
• Is the predictability of emerging and developed stock markets really exploitable? (Q879322) (← links)
• An integrated artificial neural network and fuzzy clustering algorithm for performance assessment of decision making units (Q883851) (← links)
• Genetic algorithms for the structural optimisation of learned polynomial expressions (Q884607) (← links)
• Universal approximation of a class of interval type-2 fuzzy neural networks in nonlinear identification (Q888663) (← links)
• Two-layer contractive encodings for learning stable nonlinear features (Q890731) (← links)
• A novel mode-characteristic-based decomposition ensemble model for nuclear energy consumption forecasting (Q893045) (← links)
• Adaptive actuator fault tolerant control for uncertain nonlinear systems with multiple actuators (Q900199) (← links)
• Design of a unified adaptive fuzzy observer for uncertain nonlinear systems (Q903655) (← links)
• Auto-structuring fuzzy neural system for intelligent control (Q924052) (← links)
• Markov chain network training and conservation law approximations: Linking microscopic and macroscopic models for evolution (Q924419) (← links)
• Design of optimal hybrid position/force controller for a robot manipulator using neural networks (Q936188) (← links)
• Optimizing Markovian modeling of chaotic systems with recurrent neural networks (Q944855) (← links)
• FPGA implementation of a wavelet neural network with particle swarm optimization learning (Q947873) (← links)
• A class \(+1\) sigmoidal activation functions for FFANNs (Q951450) (← links)
• Testing forecast accuracy of foreign exchange rates: Predictions from feed forward and various recurrent neural network architectures (Q954784) (← links)
• Comparison of the performance of multi-layer perceptron and linear regression for epidemiological data (Q956790) (← links)
• Variable selection in neural network regression models with dependent data: a subsampling approach (Q957121) (← links)
• The expected value models on Sugeno measure space (Q962916) (← links)
• Rotorcraft parameter estimation using radial basis function neural network (Q963946) (← links)
• Complex-valued adaptive signal processing using nonlinear functions (Q966884) (← links)
• A new neural network-based adaptive ILC for nonlinear discrete-time systems with dead zone scheme (Q967991) (← links)
• Establishing criteria to ensure successful feedforward artificial neural network modelling of mechanical systems (Q969828) (← links)
• Globally flexible functional forms: the neural distance function (Q976336) (← links)
• Heterogeneous trading strategies with adaptive fuzzy actor-critic reinforcement learning: a behavioral approach (Q976531) (← links)
• The approximation operators with sigmoidal functions (Q980024) (← links)
• Stacked heterogeneous neural networks for time series forecasting (Q980586) (← links)
• Adaptive T-S fuzzy-neural modeling and control for general MIMO unknown nonaffine nonlinear systems using projection update laws (Q980918) (← links)
• Neural network robust \(H_\infty\) tracking control strategy for robot manipulators (Q988414) (← links)
• The essential order of simultaneous approximation for neural networks (Q990650) (← links)
• Using intelligent methods to predict air-demand ratio in venturi weirs (Q994258) (← links)
• Feedforward versus recurrent neural networks for forecasting monthly Japanese yen exchange rates (Q1000399) (← links)