最后研究了基于克隆选择算法和人工免疫网络的模拟故障诊断方法。
The paper investigates the analog circuit fault diagnosis method based on clonal selection algorithm and artificial immune network.
提出了一种动态克隆选择算法和免疫网络相结合的新入侵检测算法。
This paper put forward a new piece of intrusion detection algorithm which combines dynamic clonal selection and immune network.
把人工免疫系统和神经网络系统的信息处理机制引入到CSA提出了免疫克隆选择算法。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
提出一种基于生物免疫系统克隆选择机理和免疫网络理论的免疫算法。
The paper proposed an immune algorithm based on the mechanism exhibited in biological immune clone selection and the immune network theory.
仿真实验表明，基于这种变异方法的免疫克隆选择算法可以很好地提高BP网络的学习速度，有效地避免算法过早收敛的问题。
The simulation results show that ICSA based on this method of mutation can improve the rapidity of learning BP network well and avoid prematurity effectively.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
针对复杂钢坯加热过程，提出了一种免疫克隆进化模糊神经网络（ICE-FNN）控制算法。首先根据现场样本数据建立过程神经网络模型；
The immune clone evolutionary(ICE) algorithm is presented to optimize the parameters of the fuzzy neural network(FNN) controller for the complex billet heating process.
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