First, the new scheme of a lossless data compression based on neural network is given by using non-statistical method.

本文首先采用非统计的方法给出了基于神经网络的无损数据压缩新方案。

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Empirical results show that genetic programming model is more advantageous than traditional statistical models, neural network models and decision tree models in prediction accuracy and robustness.

检验结果表明，该模型在预测精度、实用价值和鲁棒性方面都优于传统的统计模型、神经网络模型和决策树模型。

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A hierarchical feedforward neural network model particularly suited to practical statistical pattern recognition tasks is proposed in this paper.

本文提出了一个适用于统计模式识别任务的阶层式前馈神经网络模型。

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