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Markov Chain Order Estimation to the Weather State of Mosul City by Using Backpropagation Network | ||
| IRAQI JOURNAL OF STATISTICAL SCIENCES | ||
| Article 10, Volume 10, Issue 2, 2010, Pages 133-154 PDF (0 K) | ||
| DOI: 10.33899/iqjoss.2010.028420 | ||
| Abstract | ||
| The operation of order estimation of a Markov chain to represent the observation chain is an important problem in realistic applications. One method of order estimation depending on intelligence technicality is represented by artificial neural networks . in this research we design an artificial neural network which is the backpropagation error (BPE) . This research treated realistic problem in Markov chain order estimation to the weather state of raining months in Nineveh Governorate ( clearly, cloudy, rainy) , and a special algorithm has been prepared for training the network .We suggest another neural network for backpropagation error which is forecasting the weather state , which is designed depending on the past network after modify it. | ||
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