the objective in this study was to assess the performance of the control algorithms and determine the appropriate controller for aghili irrigation network. to evaluate the efficiency of the control algorithms, the performance criteria of the maximum absolute error, integral absolute error and steady state error were considered during the simulations of a one month period and with regard to the ...

A four-point polynomial interpolation (using Neville's algorithm [4]) is then performed at integer range values to give the binned predicted output cumulative distributions. The limits of the grey level ranges are taken from the ranges of the corresponding actual distributions (thus, the total probabilities of the two mass functions are not necessarily equivalent). Given the actual and predicte...

This paper proposes a new training framework for mixed labeled and unlabeled data and evaluates it on the task of binary phonetic classification. Our training objective function combines Maximum Mutual Information (MMI) for labeled data and Maximum Likelihood (ML) for unlabeled data. Through the modified training objective, MMI estimates are smoothed with ML estimates obtained from unlabeled da...

‎This paper has two aims. The first is forecasting inflation in Iran using Macroeconomic variables data in Iran (Inflation rate, liquidity, GDP, prices of imported goods and exchange rates) , and the second is comparing the performance of forecasting vector auto regression (VAR), Bayesian Vector-Autoregressive (BVAR), GARCH, time series and neural network models by which Iran's inflation is for...

We discuss alternative norms to train Neural Networks (NNs). We focus on the so called Multilayer Perceptrons (MLPs). To achieve this we rely on a Genetic Algorithm called an Eclectic GA (EGA). By using the EGA we avoid the drawbacks of the standard training algorithm in this sort of NNs: the backpropagation algorithm. We define four measures of distance: a) The mean exponential error (MEE), b)...

The optimum design of solar energy systems strongly depends on the accuracy of  solar radiation data. However, the availability of accurate solar radiation data is undermined by the high cost of measuring equipment or non-functional ones. This study developed a feed-forward backpropagation artificial neural network model for prediction of global solar radiation in Makurdi, Nigeria (7.7322  N lo...

OBJECTIVE To ascertain whether the proprioceptive deficit in the sense of joint position continues to be present when patients with a limb presenting a deficient anterior cruciate ligament (ACL) are assessed by testing their active reproduction of joint position, in comparison with the contralateral limb. METHODS Twenty patients with unilateral ACL tearing participated in the study. Their act...

the purpose of the present study was to examine the effects of self – control modeling , that is presenting moded to learner whenever they asked for it, on learning a timing task.twenty four right handed subjects (12 males, 12 females, aged 19-20) voluntarily participated in the study and were assigned randomly to two groups of self – control and yoked.the task was pressing the keys number 1, 4...