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The initial weights and thresholds of BP neural network are optimized by genetic algorithm in advance, and then the BP neural network is used in the prediction model of the postgraduate entrance examination results. Experimental results show that the optimized prediction model due to overcome the slow convergence speed and the defects of easy to produce local minimum has better accuracy than prediction...
Neural networks (NNs) have been widely used to predict financial distress because of their excellent performances of treating non-linear data with self-learning capability. However, common neural networks often suffer from long convergent processes and occasionally involve in a local optimal solution that more or less limited their applications in practice. To overcome the drawbacks of neural networks,...
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