The Early-warning Model Based on BP Artificial Neural Networks for Enterprises
Yu Liu · 2004
Based upon the index of enterprise early-warning system, the partition of watch line and judgment of warning degree, are the research nodi in enterprise early-warning management system. In view of existing problem in this field, the paper applies the BP model of Artificial Neural Networks theory to the early-warning system of enterprise. BP model overcomes many limitations of traditional patterns, such as difficulties in processing highly non-linear model, bad performances of fault tolerance, absence of time-varying volatility in Early-warning line and Early-warning region, lack of self-study and the like. Through the designing of model and simulation, the paper proves the effectiveness and wide prosperity of this method.