scholarly journals A new approach to fuzzy wavelet system modeling

2005 ◽  
Vol 40 (3) ◽  
pp. 302-322 ◽  
Author(s):  
Engin Karatepe ◽  
Musa Alcı
2004 ◽  
Vol 14 (2) ◽  
pp. 259-272 ◽  
Author(s):  
P. Georgiadis ◽  
D. Vlachos

Reverse logistics is a modern field of consideration, research and study, providing helpful information on the operation of the closed-loop supply chain. Although the starting point of this field is traced back to the early 90?s, no standard method has been suggested, neither prevailed. The purpose of this paper is to introduce a new approach on the study of reverse logistics. It is actually a review on how System Dynamics (SD) can be a helpful tool when it is used in the reverse logistics field. The paper explains the basic theory of the system modeling and next it utilizes the reverse logistics model. Finally, an illustrative example shows how SD modeling can be used to produce a powerful long-term decision-making tool.


2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Yiding Yue ◽  
Lei He ◽  
Guanchun Liu

The paper proposes a new nonlinear dynamic econometric model with fractional derivative. The fractional derivative is defined in the Jumarie type. The corresponding discrete financial system is considered by removing the limit operation in Jumarie derivative’s. We estimate the coefficients and parameters of the model by using the least squared principle. The new approach to financial system modeling is illustrated by an application to model the behavior of Japanese national financial system which consists of interest rate, investment, and inflation. The empirical results with different time step sizes of discretization are shown, and a comparison of the actual data against the data estimated by empirical model is illustrated. We find that our discrete financial model can describe the actual data that include interest rate, investment, and inflation accurately.


1995 ◽  
Vol 04 (01n02) ◽  
pp. 73-91 ◽  
Author(s):  
EIJI UCHINO ◽  
TAKESHI YAMAKAWA

This paper describes a new approach to system modeling by using a neo-fuzzy-neuron. The target system is modeled adaptively by simply feeding its input and output data to the neo-fuzzy-neuron, whose basic principle was proposed by the authors in 1992. Firstly, the neo-fuzzy-neuron is applied to the restoration of a saturated and/or intermittent speech or chaotic signal to show its actual effectiveness. It is then enhanced in order to get a better generalization capability. The enhanced version of the neo-fuzzy-neuron could facilitate to identify clearly the nonlinear chaotic system, and could most likely predict the future behavior of the system. The neo-fuzzy-neuron was further applied to the identification of actual sound insulation systems. The application was a success and provided promising results.


1995 ◽  
Vol 3 (2) ◽  
pp. 190-198 ◽  
Author(s):  
Yinghua Lin ◽  
G.A. Cunningham

1980 ◽  
Vol 7 (4) ◽  
pp. 621-628
Author(s):  
Gilles G. Patry

A new approach to the study of domestic wastewater equalization basins is presented. The proposed methodology is based on the continuous simulation of the process using CSMP/360 (continuous system modeling program) simulation language. Different operating conditions can readily be simulated by the model EQUIL during a single computer run. This feature permits the construction of various response curves from which the volume of the equalization basin can be determined so as to meet the specified effluent variations. Two examples illustrate the use of the model for design purposes.


Sign in / Sign up

Export Citation Format

Share Document