Published Paper Details:

In the past, many researchers used data extraction techniques in any region. Many data have been collected from scientific fields such as geosciences, astronomy, meteorology, geology and the biological sciences. Techniques and data extraction tools used in environmental problems as well in environmental condition. In biology, the extraction of serial data is based on alignment with the fact that all organisms are related to the evolution and extraction of environmental science data used in the prediction of data, as earthquakes analysis, landslides, etc. This thesis investigates two factors of environments one is temperature and other is level of carbon-di-oxide (CO2). This thesis executed on MATLAB. The modified nasal network is easy to understand and easy to implement in taxonomy technology. Despite its simplicity, it can work well in many situations, in particular, the well-known consequences of coverage and the heart show that the error of the neighboring regime is above the error of repeating under certain reasonable assumptions. In addition to this, the error of a generalized modified neural network reaches a repetitive error and can be used globally. Modified neural networks are especially suitable for multiple variables and applications, in which the object can contain many class labels. Therefore, the forecast of the proposed method predicts temperatures with 100% accuracy.