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Impact analysis variables involved in pollution, gas emissions , solid waste and forecasting for cement plants by using the method of neural networks | ||
| Al-Ma'mon College Journal | ||
| Article 1, Volume 0, Issue 22, 2018, Pages 219-234 | ||
| Author | ||
| amar kuti nasir | ||
| Abstract | ||
| In this research we applied Artificial Neural Networks approach of Kirkuk Cement Factory for the period (1984-2006). The variables used in the production process are electric power, black oil and limestone. That style is of great importance in the analysis and impact study and prediction of environmental pollution . The results showed that the application of style (ANN) has given high-precision results in estimation which were analyzed to study the effect and prediction of variables of pollution | ||
| Keywords | ||
| Statistical analysis; Forecasting; artificial neural networks | ||
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