using nonlinear mathematical analysis, on the data obtained for.time seriesof shahd-iran price during 3.5 years, the characteristics,of the process associated with this, is analysed. analysing the behaviour of the time series associated with returns is indicative ofits short-term predictability nature. however, employing analysis regarding the correlation dimension estimate. it is indicated tha...

It is usual to model the dynamics of an observed time series by building a model F (x t) = x t+1 + e t of a map. Generally F is constructed so that P e 2 t is minimal (often subject to some constraint on F which will avoid over-tting). One may obtain a prediction further into the future by iterating F. In this paper we propose alternative formulations to build a function G(x t ;) = x t+ + e t;;...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

A research program was conducted on different clay-bearing rocks selected from the Ilam, Sarpol-e Zahab and Tajarak regions (Iran) to predict their slaking characteristics. The new durability apparatus (nested mesh drums) separates disintegrated particles varying from > 25.4 to < 2 mm as the drums were rotated. On the basis of the particle size distribution, the disintegration ratio (DR) was us...

Bankruptcy prediction is one of the major business classification problems. The main purpose of this study is to investigate Kohonen self-organizing feature map in term of performance accuracy in the area of bankruptcy prediction.  A sample of 108 firms listed in Tehran Stock Exchange is used for the study. Our results confirm that Kohonen network is a robust model for predicting bankruptcy in ...

This paper describes a simple method of obtaining longer-term predictions from a nonlinear time-series, assuming one already has a reasonably good short-term predictor. The usefulness of the technique is that it eliminates, to some extent, the systematic errors of the iterated short-term predictor. The technique we describe also provides an indication of the prediction horizon. We consider syst...

Ever since the first fishermen ventured into the sea, tides have been the subject of intense human observation. As a result computational models and ‘tide predicting machines’, mechanical computers for predicting tides have been developed over 100 years ago. In this work we propose a statistical model for short-term prediction of sea levels at high tide in the tide influenced part of the Weser ...

We consider planning problems, that often arise in autonomous driving applications, in which an agent should decide on immediate actions so as to optimize a long term objective. For example, when a car tries to merge in a roundabout it should decide on an immediate acceleration/braking command, while the long term effect of the command is the success/failure of the merge. Such problems are char...