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- W3141596355 abstract "一个新方法基于一个神经网络和一个基因算法的联合被建议评价 coalbed 甲烷水库的利用优先级的顺序。神经网络被用来通过样品训练获得水库参数的重量，基因算法被用来优化神经房间的起始的连接重量以防神经网络掉进本地最小。另外，每个参数的辅助函数被建立在在零之间的范围和统一使 coalbed 甲烷水库的参数的实际的值正常化。最后，所有 coalbed 甲烷水库的评估价值能被使用全面评估方法获得，它是基础在利用优先级的顺序评价 coalbed 甲烷水库。越大评估价值，越 higher 利用优先级。评价方法被十座利用 coalbed 甲烷水库在中国在这份报纸验证。评估结果与实际利用盒子一致。方法能保证参数的重量的真实和可靠并且避免专家引起的主观。而且，掉进本地最小的概率被减少，因为基因算法被用来优化神经网络系统。" @default.
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- W3141596355 date "2008-01-01" @default.
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- W3141596355 title "Application of a neural network system combined with genetic algorithm to rank coalbed methane reservoirs in the order of exploitation priority" @default.
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