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Application of Forecasting Models on Indian Coal Mining Fatal Accident (Time Series) Data

机译:预测模型对印度煤矿致命事故(时间序列)数据的应用

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摘要

Director General of Mines Safety under the Ministry of Labour, Government of India, published an annual report which includes safety statistics of Indian mines. A combined/unified database is created from these reports for detailed analysis. The time series data on fourteen parameters was available through a unified database which was utilised in application of forecasting models based on time series modelling. Moving average, neural network and group method of data handling (GMDH) time series forecasting models were applied in the present study. The predictions and forecasts are presented here with comparisons of the results.
机译:印度政府劳工部矿业部总干事发表了一份年度报告,包括印度地雷的安全统计数据。 组合/统一数据库是从这些报告创建的,以进行详细分析。 通过统一数据库可获得十四个参数的时间序列数据,该数据库应用于基于时间序列建模的预测模型应用。 在本研究中应用了移动平均数据处理(GMDH)时间序列预测模型的平均值,神经网络和组方法。 这里介绍了预测和预测,并在结果比较了结果。

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