Search Results - subject:"Radial basis function"

China's primary energy demands in 2020: Predictions from an MPSO-RBF estimation model

Wei, Yi-Ming; Yu, Shiwei; Wang, Ke - Center for Energy and Environmental Policy Research … - 2011

In the present study, a Mix-encoding Particle Swarm Optimization and Radial Basis Function (MPSO-RBF) network …

Persistent link: https://www.econbiz.de/10010897977

Hybrid Data Mining Approach for Image Segmentation Based Classification

Panda, Mrutyunjaya; Hassanien, Aboul Ella; Abraham, Ajith - In: International Journal of Rough Sets and Data Analysis … 3 (2016) 2, pp. 65-81

that problem and able to get a near optimal solution. In this, a hybrid wavelet based radial basis function (RBF) neural …

Persistent link: https://www.econbiz.de/10012047355

Adaptive radial basis function methods for pricing options under jump-diffusion models

Chan, Tat Lung - In: Computational economics 47 (2016) 4, pp. 623-643

Persistent link: https://www.econbiz.de/10011712485

A big data MapReduce framework for fault diagnosis in cloud-based manufacturing

Kumar, Ajay; Shankar, Ravi; Choudhary, Alok; Thakur, … - In: International journal of production research 54 (2016) 23/24, pp. 7060-7073

Persistent link: https://www.econbiz.de/10011566219

Pricing Options under Jump-Diffusion Models by Adaptive Radial Basic Functions

Chan, Ron - Department of Economics, University of Bath - 2010

based on Radial Basis Function (RBF) interpolation instead of traditional mesh-based methods like Finite Differences (FDM … Radial Basis Function (IMQ). The method can in principle be extended to Levy-models. Moreover, an adaptive method is proposed …

Persistent link: https://www.econbiz.de/10010900701

A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques

Guegan, Dominique; Rakotomarolahy, Patrick - HAL - 2010

-nearest neighbors method and radial basis function method for which we provide new theoretical results. We apply these two methods to …

Persistent link: https://www.econbiz.de/10010549081

A short note on the nowcasting and the forecasting of Euro-area GDP using non-parametric techniques.

Guegan, Dominique; Rakotomarolahy, Patrick - Centre d'Économie de la Sorbonne, Université Paris 1 … - 2010

-nearest neighbors method and radial basis function method for which we provide new theoretical results. We apply these two methods to …

Persistent link: https://www.econbiz.de/10008622046

Detection of tsunami-induced changes using generalized improved fuzzy radial basis function neural network

Mehrotra, Akansha; Singh, Krishna; Nigam, M.; Pal, Kirat - In: Natural Hazards 77 (2015) 1, pp. 367-381

classification using radial basis function neural network and generalized improved fuzzy partition FCM algorithm. The pre- and post …-tsunami images of the area are first classified using a radial basis function neural network. The pre- and post-tsunami images are …

Persistent link: https://www.econbiz.de/10011241135

Long-range prediction of retail sales using recurrent radial basis function neural network

Rout, Minakhi; Majhi, Babita - In: International journal of foresight and innovation … 10 (2015) 1, pp. 29-47

Persistent link: https://www.econbiz.de/10011524611

Meshfree Approximation for Multi-Asset Options

Hanert, Emmanuel; Venkatramanan, Aanand - Henley Business School, University of Reading - 2008

We price multi-asset options by solving their price partial differential equations using a meshfree approach with radial basis functions under jump-diffusion and geometric Brownian motion frameworks. In the geometric Brownian motion framework, we propose an effective technique that breaks the...

Persistent link: https://www.econbiz.de/10008542357