in this research the chaocity of precipitation time series in daily, weekly and monthly scales in the pole-kohneh and ghourbaghestan stations located in qarah-soo watershed is investigated. in order to reassure about the absence of stochastic behavior of the time series, method of surrogate data is applied. thereafter, the aperiodicity of the time series is investigated using power spectrum ana...

computing or determining the amount of maximum flood debit in watershed is one of the main important parts of hydrological research in river improvement. in this regard it is necessary to be distinguished peak of flood flow and its hydrograph for favorable return period. this needs to have long time statistic and leminograph tools in study research area. in this study with the comparison of ava...

in this research prediction methods of artificial neural network and chaos theory are employed to predict daily, weekly and monthly runoff. for this, runoff series data observed at pole-kohneh located in the qareh-soo river. the nonlinear predictions of chaos are found to be in close agreement with the observed runoff, with high correlation coefficient for daily and weekly time scales. predicte...

ii

HDDT breast-y 286 9 2 2.36 HDDT compustat 13657 20 2 25.26 HDDT covtype 38500 10 2 13.02 HDDT credit-g 1000 20 2 2.33 HDDT estate 5322 12 2 7.37 HDDT german-numer 1000 24 2 2.33 HDDT heart-v 200 13 2 2.92 HDDT hypo 3163 25 2 19.95 HDDT ism 11180 6 2 42.00 HDDT letter 20000 16 2 24.35 HDDT oil 937 49 2 21.85 HDDT page 5473 10 2 8.77 HDDT pendigits 10992 16 2 8.63 HDDT phoneme 5404 5 2 2.41 HDDT ...

This paper discusses examples, p a r t i c u l a r l y hypo the t i ca ls , t he i r use and generat ion, in legal reasoning. It examines the use of sequences of hypo the t i ca ls .

In this paper we put forward a way of modelling reasoning with cases as it is described by writers such as Levi. This style of reasoning concentrates on finding and refining particular distinctions amongst cases which bear on the outcome. It thus contrasts with work such as HYPO in which such distinctions are the product of initial analysis of the domain, and so come already fixed. We provide a...

In this paper we describe an approach to the problem of weighting various factors that contribute to an analysis or outcome of a problem situation and discuss issues about weighting as they touch upon our case-based reasoned HY@O. In HYPO, we take the approach of delaying for as long as possible any assignment of weights-and of symbolically comparing the “weights” of competing factors. We call ...

We propose a model of price formation in Double Auction markets which employs the strong simplifying assumption that agents neglect strategic feedback effects and regard themselves as playing a Game against Nature. Agents otherwise are strict expected utihty maximizers employing Bayesian updating procedures. We prove the optimality of simple (‘aggressive reservation price’) strategies in our ge...