结果表明对于数据量庞大的非线性模型的优化求解，改进后的进化规划算法具有更强和更广泛的适用性。
The result shows that improved evolutionary programming is much more appropriate of none line model with a great volume of data.
考虑到冲击地压时序的特点，采用基于免疫进化规划的进化神经网络进行了冲击地压非线性系统的建模研究。
Considering the dynamic character of rock burst, a time serial model of rock burst is constructed by evolutionary neural network based on immunized evolutionary program.
对进化规划的变异操作、适应度计算及竞争选择方案进行了研究。
Studies the mutation operation, fitness calculation and competition-selection scheme of evolutionary programming method.
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