HGA-BP-Based Financial Crisis Warning Method
Zhou Hui-ren · Journal of systems management · 2010
A financial crisis warning model,based on hierarchical genetic algorithm and BP neural network,is proposed.Different from the existing BP training method resulting only in determination of connection weights,a well-designed hierarchical genetic algorithm is used to train BP neural network with both connection weights and numbers of neurons in a hidden layer determined at the same time.The model is then used to classify the data of Wine.It is shown that the model based on hierarchical genetic algorithm and BP neural network is simple and effective.According to the financial data of listed companies,using the method proposed to warn the finance problem is feasible.