The purpose of this research is predicting the stock prices using the Particle Swarm Optimization Algorithm and Box-Jenkins method. In this way, the information of 165 corporations is collected from 2001 to 2016. Then, this research considers price to earnings per share and earnings per share as main variables. The relevant regression equation was created using two variables of earnings per sha...

drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. mathematical modelling is one of the possible solutions to speed up this process. in this study, we have presented box-jenkins model, to predict the vasorelaxant activity (pec50) of a set of benzopyrane compounds. we used the hyperchem sof...

the increasing demand for rice in ghana has been a major concern to the government and other stakeholders. recent concerns by the coalition for african rice development (card) to double rice production within ten years in sub-saharan countries have triggered the to implement strategies to boost rice production in the government. to fulfill this requirement, there is a need to monitor and foreca...

background: determining the temporal variation and forecasting the incidence of smear positive tuberculosis (tb) can play an important role in promoting the tb control program. its results may be used as a decision-supportive tool for planning and allocating resources. the present study forecasts the incidence of smear positive tb in iran. methods: this a longitudinal study using monthly tuberc...

Model identification is an important and complicated step within the autoregressive integrated moving average (ARIMA) methodology framework. This step is especially difficult for integrated series. In this article first investigate Box-Jenkins methodology and its faults in detecting model, and hence have discussed the problem of outliers in time series. By using this optimization method, we wil...

The evapotranspiration rate has a vital role in agricultural water management. In this paper, ability of Box-Jenkins models in forecasting the reference potential evapotranspiration is estimated. For this purpose meteorological data of Mehrabad synoptic station in Tehran was selected. Using this data and according to eight famous evapotranspiration equations amounts of evapotranspiration were f...

     Drug design is generally achieved through trial and error methods, which is a time and resource consuming process and novel methods are needed to improve it. Mathematical modelling is one of the possible solutions to speed up this process. In this study, we have presented Box-Jenkins model, to predict the vasorelaxant activity (pEC50) of a set of benzopyrane compounds. We used t...

In this paper, forecasting of monthly electricity load using Box-Jenkins methodology and feed forward neural networks is discussed. This study investigates application of neural networks models and the results of neural networks will be compared with those obtained by Box-Jenkins method.

High-order ARX models can be used to approximate a quite general class of linear systems in a parametric model structure, and wellestablished methods can then be used to retrieve the true plant and noise models from the ARX polynomials. However, this commonly used approach is only valid when the plant is stable or if the unstable poles are shared with the true noise model. In this contribution,...