Pre-warm ing systems of enterpr ise f inanc ial cr isis based on fuzzy selection and artif ic ial neural networks
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    Abstract:

    In th is paper, a model to p redict the financial crisis of enterp rises based on fuzzy selection and artificial neural network is put forth. It integrates p reventive measures of financial crisis w ith dynam ic learning of inference know ledge by neural network and forecasting of the targets of financial crisis. A s a new w ay of dynam ic p re2w arm ing of financial crisis, th ismodel is p roven effective and feasible.

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