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- W3150898673 abstract "为了使更多成为煤气的排出物，信息熔化和混乱的准确预言，时间系列被联合在坑预言煤气的排放的数量。首先， amulti 传感器信息熔化框架被建立。框架包括数据水平，特性水平和决定水平。在每水平的功能在这篇论文详细被解释。然后，为煤气的排放的信息熔化的过程被介绍。根据在数据和字符层次处理的那些数据，混乱时间系列和神经网络被联合在决定水平预言煤气的排放的数量。神经网络的重量不由用手的设定是获得的 by training，由人的干预介绍了以便避免主观。最后，试验性的结果在 Matlab 6.0 被分析并且证明方法比传统的方法在煤气的排放的数量的预言是更精确的。" @default.
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- W3150898673 date "2006-01-01" @default.
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- W3150898673 title "Prediction of Gas Emission Based on Information Fusion and Chaotic Time Series" @default.
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