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NARX based forecasting of petrol prices

机译：基于NARX的汽油价格预测

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The ongoing hike in the price of crude oil and its products has raised the concern to predict future prices of the petrol. This prediction is also useful in order to make the economy of a nation to be stable. Accuracy in the prediction of petrol price is the most important aspect. Our work here consists of theories on how dynamic neural networks along with auto regression can be applied for petrol price forecasting. The accuracy for calculation of petrol price is very crucial for making balancing in consumer producer demand. Profit, long and short term planning of production is depending on the accuracy of price forecasting and consumer can efficiently maximize their utilities. In this paper proposed algorithm is based on Non Linear Autoregressive model with exogenous input(NARX)for petrol price forecasting. Results are compare with minimum mean square error with different training algorithm.
机译：原油及其产品价格的持续上涨引发了人们对预测汽油未来价格的担忧。该预测对于使一个国家的经济稳定也很有用。预测汽油价格的准确性是最重要的方面。我们在这里的工作包括有关如何将动态神经网络与自动回归一起用于汽油价格预测的理论。汽油价格计算的准确性对于平衡消费者生产者的需求至关重要。利润，生产的长期和短期计划取决于价格预测的准确性，并且消费者可以有效地最大化其效用。本文提出了一种基于非线性自回归模型的外源输入（NARX）汽油价格预测算法。将结果与采用不同训练算法的最小均方误差进行比较。

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