Neural network approximation for superhedging prices

Verification of an Evolutionary-based Wavelet Neural Network Model for Nonlinear Function Approximation

Nonlinear function approximation is one of the most important tasks in system analysis and identification. Several models have been presented to achieve an accurate approximation on nonlinear mathematics functions. However, the majority of the models are specific to certain problems and systems. In this paper, an evolutionary-based wavelet neural network model is proposed for structure definiti...

A Wavelet Neural Network for Function Approximation and Network Optimization A WAVELET NEURAL NETWORK FOR FUNCTION APPROXIMATION AND NETWORK OPTIMIZATION

A new mapping network combined wavelet and neural networks is proposed. The algorithm consists of two process: the selfconstruction of networks and the minimization of errors. In the first process, the network structure is determined by using wavelet analysis. In the second process, the approximation errors are minimized. The merits of the proposed network are as follows: network optimization, ...

Approximation with Diffusion-Neural-Network

Neural information processing models largely assume that the samples for training a neural network are sufficient. Otherwise there exist a non-negligible error between the real function and estimated function from a trained network. To reduce the error in this paper we suggest a diffusion-neural-network (DNN) to learn from a small sample. First, we show the principle of information diffusion us...

GDOP Classification and Approximation by Implementation of Time Delay Neural Network Method for Low-Cost GPS Receivers

Geometric Dilution of Precision (GDOP) is a coefficient for constellations of Global Positioning System (GPS) satellites. These satellites are organized geometrically. Traditionally, GPS GDOP computation is based on the inversion matrix with complicated measurement equations. A new strategy for calculation of GPS GDOP is construction of time series problem; it employs machine learning and artif...

A Wavelet Neural Network for Fun tion Approximation and Network Optimization A WAVELET NEURAL NETWORK FOR FUNCTION APPROXIMATION AND NETWORK OPTIMIZATION