Prior knowledge can be introduced into system identiication problems in terms of constraints on the parameter space, or regularizing penalty functions in a prediction error criterion. The contribution of this work is mainly an extention of the well known FPE (Final Prediction Error) statistic to the case when the system identiication problem is constrainted and contains a regularization penalty...

yield prediction before harvesting is one of the tools in order to planning food production supply in future.yield prediction was carried out for wheat(triticum aestivum) using different meteorological variables with agrometeorological indices in hamedan district during 2003-04 and 2004-05. according to correlation coefficients, standard error of estimate as well as relative deviation of predic...

in recent years, use of fuzzy collection theories for modeling of hydrological phenomenon's that is including complexity and uncertainly is considered scholars. so in this research, adaptive neuro-fuzzy inference system (anfis) is used for performance of river flow forecasting process. in this research, three parameters such as raining, temperature and daily discharge of lighvanchai basin ...

Many works have demonstrated that the performance of the prediction error (PE) based reversible watermarking algorithm depends on the precision of the prediction value. However, most algorithms compute the prediction value by exploiting only the correlation between the embedding pixel and its neighboring pixels, thus limiting the watermarking performance of these algorithms. In this work, we ob...

Yield prediction before harvesting is one of the tools in order to planning food production supply in future.Yield prediction was carried out for Wheat(Triticum aestivum) using different meteorological variables with agrometeorological indices in Hamedan district during 2003-04 and 2004-05. According to correlation coefficients, standard error of estimate as well as relative deviation of predic...