Due to most of current early-warning of enterprise crisis only give a alarm other forecast, the paper presents a method based on gray forecasting and pattern recognition.
针对当前大部分企业危机预警模型只能报警，不能预测的现状，提出一种基于灰色预测与模式识别的预警方法。
It analyzes the design ideas and rules of early warning targets system, proposes the immediate alarm model and the dynamic model.
分析预警指标体系的设计思路和原则，提出即期报警模型与动态模型。
Experimental simulation is made, and the result indicates that the algorithm is feasible and effective and it can improve accuracy of congestion early warning and reduce false alarm rate.
仿真结果表明：该方法是可行有效的，可改善拥堵预警的准确率并减少误报率。
应用推荐