Stochastic Neural Networks for Modelling Random Processes from Observed Data

Stochastic Neural Networks for Modelling Random Processes from Observed Data is …
instance of (P31):
scholarly articleQ13442814

External links are
P356DOI10.1007/978-3-319-28495-8_5

P50authorDon KulasiriQ17265917
P2093author name stringHong Ling
Sandhya Samarasinghe
P2860cites workMultilayer feedforward networks are universal approximatorsQ56020518
Approximation by superpositions of a sigmoidal functionQ56532755
Universal Approximation Using Radial-Basis-Function NetworksQ57311896
Modelling variability in full-field displacement profiles and Poisson ratio of wood in compression using stochastic neural networksQ63580622
Neural Networks for Applied Sciences and EngineeringQ63580803
P304page(s)83-107
P577publication date2016-01-01
P1433published inStudies in Computational IntelligenceQ29043830
P1476titleStochastic Neural Networks for Modelling Random Processes from Observed Data