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。
Genetic Algorithms is used in solving the mathematical model, it can obtain the global optimum even if there exists local optimums, and enlarge the application range of Fuzzy Physical Programming.
利用遗传算法求解数学模型，解决了最终优化目标可能存在多个局部最优解的问题，拓宽了模糊物理规划的应用范围。
The paper proposes a novel method for the identification of Hammerstein model based on genetic programming.
该文基于遗传规划提出了一种辨识哈默·斯坦模型的新方法。
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