Proper models for prediction of time series data can be an advantage in making important decisions. In this study, we tried with the comparison between one of the most useful classic models of economic evaluation, auto-regressive integrated moving average model and one of the most useful artificial intelligence models, adaptive neuro-fuzzy inference system (ANFIS), investigate modeling procedur...

background: since the industrial revolution, the rate of industrialization and urbanization has increased dramatically. regarding this issue, specific regions mostly located in developing countries have been confronted with serious problems, particularly environmental problems among which air pollution is of high importance. methods: eleven parameters, including co, so 2 , pm 10 , pm 2.5 , o 3 ...

objective: this study aimed to provide a normative study documenting how 114 five-seven year-old non-‎patient iranian children respond to the rorschach test. we compared this especial sample to ‎international normative reference values for the comprehensive system (cs).‎ method: one hundred fourteen 5- 7- year-old non-patient iranian children were recruited from public ‎schools. using five chil...

infiltration plays an important role in surface and subsurface hydrology and it is a key factor in the rainfall and runoff equations. the use of new approaches that have no limitations of common theoretical and empirical methods to determine infiltration relationships, will minimize the necessity of time consuming and costly experiments to determine permeability values and will make it possible...

The UV-spectrophotometric method of analysis was proposed for simultaneous determination of fluoxetine (FLX) and sertraline (SRT). Considering the strong spectral overlap between UV-Vis spectra of these compounds, a previous separation should be carried out in order to determine them by conventional spectrophotometric techniques. Here, full-spectrum multivariate calibrations adaptive neuro-fuzz...