• Publications
  • Influence
Trefftz method: an overview
Abstract The aim of this paper is to review the existing formulations of ‘Trefftz method’. The Trefftz formulations are classified into the direct and the indirect formulations and then, comparedExpand
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Structural design using cellular automata
Abstract This paper presents a shape and topology optimization scheme for structures by using the concept of a cellular automaton (CA). A design domain domain is divided into small square cells andExpand
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Error estimation and adaptive mesh refinement in boundary element method, an overview
Abstract Further to the previous review article (Adv Engng Software 19(1) (1994) 21–32), this paper reviews more recent studies on the same subject by citing more than one hundred papers. TheExpand
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Options valuation by using radial basis function approximation
Abstract This paper describes the valuation scheme of European, barrier, and Asian options of single asset by using radial basis function approximation. The option prices are governed withExpand
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Search performance improvement of Particle Swarm Optimization by second best particle information
TLDR
In the original Particle Swarm Optimization (PSO), the position vectors denote the potential solutions of the optimization problem. Expand
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Parallel implementation of boundary element method with domain decomposition
Algorithms for the parallel boundary element computation of the domain-decomposed problem are considered in this paper. In this method, boundary conditions on virtual internal boundaries are assumed,Expand
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Stock price forecast using Bayesian network
  • Yi Zuo, E. Kita
  • Mathematics, Computer Science
  • Expert Syst. Appl.
  • 1 June 2012
TLDR
Bayesian network is a probabilistic graphical model that represents a set of random variables and their conditional dependencies via a directed acyclic graph. Expand
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Up/Down Analysis of Stock Index by Using Bayesian Network
Bayesian network is the graphical model which can represent the stochastic dependency of the random variables via the acyclic directed graph. In this study, Bayesian network is applied for theExpand
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  • PDF
Application of Bayesian Network to stock price prediction
TLDR
We present the stock price prediction algorithm by using Bayesian network based on discrete variables. Expand
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Shape optimization of continuum structures by genetic algorithm and boundary element method
This paper presents a new scheme for the shape optimization of continuum structures by using genetic algorithm (GA) and boundary element methods (BEM). The profiles of the objects under considerationExpand
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