Research on the decision method of enterprise information investment based on IA-BP network

The paper employs the data envelope analysis (DEA) method to evaluate the input-output efficiency of constructing the enterprise information. Through projecting the inefficacy DEA unit to make the DEA effective in the unit, the data from projection cam be used to train the BP network. There are shortcomings in BP network model such as slow speed in convergence and easily plunging into the local minima. On the contrary, artificial immune model has such merits as antibody diversity inheritance mechanism and cell-chosen mechanism. This paper designs the BP network and constructs the IA-BP network model which takes the enterprise information application level, enterprise human resources state and information benefit index as input, and the enterprise investing as output, carrying out the network training, until gets the satisfied investment decision model by which the company achieve the maximal benefit. This model not only constructs a new viable method to effectively use the research data, but also overcomes the drawbacks of non-linear description in the traditional information investment decision. The application results show that the model can satisfy the requirement of enterprise information and it also can provide the best decision for enterprises.