The results of experimental prediction show that the accuracy of predication by the neural network models is very high. They open up a new way to predict farmer income.
预测结果表明农户经济收入神经网络模型预测精度较高，开辟了农户经济收入预测的有效途径。
The paper takes the prediction of the soft ground settlement of Xibu tunnel filling sea project in Shenzhen as example, and discusses the way to solve the problem by adopting RBF neural network.
以深圳湾西部通道填海软基沉降的预测分析为例，探讨采用RBF神经网络解决这一问题的方法。
Prediction methods to the tendency of network opinion evolution are also initially studied and the way to predict network opinion tendency based on time series analysis theories is present.
提出并研究了基于时间序列理论的网络舆论发展趋势预测方法。
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