通过引人双恒等变换，推导出系统和辅助系统的自校正预报模型。
By introducing double constant alterations, we establish self-tuning predictive models of system and auxiliary system.
结果表明，神经网络方法性能较好，可望成为地震实际预报的一种有效的辅助手段。
The results indicated that the performance of the neural network approach is good, and therefore it might be referred as an effective assistant technique for synthetic prediction of earthquakes.
它在海洋数据收集、污染监测、灾难预报、辅助导航以及水下军事防御等方面有着广泛的应用。
It has extensive application on Marine data collection, Pollution Monitoring, disaster warning navigational assistant and underwater military defense.
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