The grey theory is a multidisciplinary and generic theory that deals with systems that lack adequate information and/or have only poor information. In this paper, an improved grey model using step function was propose...The grey theory is a multidisciplinary and generic theory that deals with systems that lack adequate information and/or have only poor information. In this paper, an improved grey model using step function was proposed. Petroleum cost forecast of the Henan oil field was used as the case study to test the efficiency and accuracy of the proposed method. According to the experimental results, the proposed method obviously could improve the prediction accuracy of the original grey model.展开更多
Since 2011 Indonesia has become the world’s largest exporter of steam coal. Two supporting factors of Indonesia to be the largest exporter are its enormous production and low operating cost. This paper foresees the p...Since 2011 Indonesia has become the world’s largest exporter of steam coal. Two supporting factors of Indonesia to be the largest exporter are its enormous production and low operating cost. This paper foresees the production and extraction cost of Indonesian coal in the coming period to evaluate marketing policies and estimate the cost of Indonesian coal supply in domestic market as well as in export market. The production forecasting is carried out by Gompertz curve. Peak production of Indonesian coal is expected to take place in 2026. Moreover, the extraction cost in coal basins which produce high calorific value of coal, in accordance to the operating cost forecasting, is higher than the one with low calorific value of coal due to its higher stripping ratio. Three main basins of Central Sumatra, Tarakan, and Barito basins play major rule in supplying coal for domestic use in short term. And other coal basins such as South Sumatra, Kutai, Bengkulu, and Ombilin basins provide long term supply in the domestic and export markets.展开更多
为了准确地对装配式建筑的成本进行预测,使工程师的投资决策更加准确,提出了自适应运动估计算法(Adaptive moment estimation,ADM),对反向传播(Back Propagation,BP)神经网络进行改进,再利用ADM-BP神经网络,对施工成本进行预测研究。结...为了准确地对装配式建筑的成本进行预测,使工程师的投资决策更加准确,提出了自适应运动估计算法(Adaptive moment estimation,ADM),对反向传播(Back Propagation,BP)神经网络进行改进,再利用ADM-BP神经网络,对施工成本进行预测研究。结果显示,ADM-BP算法的平均准确率为95.9%,ANN算法的平均准确率85.2%,CNN算法的平均准确率为86.7%。研究提出的ADM-BP神经网络有效提高了装配式建筑成本预测的准确度,使工程师的投资决策更加准确。展开更多
文摘The grey theory is a multidisciplinary and generic theory that deals with systems that lack adequate information and/or have only poor information. In this paper, an improved grey model using step function was proposed. Petroleum cost forecast of the Henan oil field was used as the case study to test the efficiency and accuracy of the proposed method. According to the experimental results, the proposed method obviously could improve the prediction accuracy of the original grey model.
文摘Since 2011 Indonesia has become the world’s largest exporter of steam coal. Two supporting factors of Indonesia to be the largest exporter are its enormous production and low operating cost. This paper foresees the production and extraction cost of Indonesian coal in the coming period to evaluate marketing policies and estimate the cost of Indonesian coal supply in domestic market as well as in export market. The production forecasting is carried out by Gompertz curve. Peak production of Indonesian coal is expected to take place in 2026. Moreover, the extraction cost in coal basins which produce high calorific value of coal, in accordance to the operating cost forecasting, is higher than the one with low calorific value of coal due to its higher stripping ratio. Three main basins of Central Sumatra, Tarakan, and Barito basins play major rule in supplying coal for domestic use in short term. And other coal basins such as South Sumatra, Kutai, Bengkulu, and Ombilin basins provide long term supply in the domestic and export markets.
文摘为了准确地对装配式建筑的成本进行预测,使工程师的投资决策更加准确,提出了自适应运动估计算法(Adaptive moment estimation,ADM),对反向传播(Back Propagation,BP)神经网络进行改进,再利用ADM-BP神经网络,对施工成本进行预测研究。结果显示,ADM-BP算法的平均准确率为95.9%,ANN算法的平均准确率85.2%,CNN算法的平均准确率为86.7%。研究提出的ADM-BP神经网络有效提高了装配式建筑成本预测的准确度,使工程师的投资决策更加准确。
