The Antibody Network (ABNET), which is a new Artificial Neural Networks (ANN) based on immune principle, has been proved to have good ability of unsupervised and competitive learning in experiments.
抗体网络作为一种新型的基于免疫原理的神经网络模型，已有实验验证了其具有良好的无监督竞争学习能力。
A design scheme of optimal RBF fuzzy neural network controller is proposed based on artificial immune principle.
提出了一种基于人工免疫原理的最优r BF模糊神经网络控制器设计方案。
By introducing the information processing mechanism of artificial immune systems and neural network to CSA, an immune clonal selection algorithm (ICSA) was proposed.
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。
In order to prevent neural network learning from getting into local extreme point, artificial immune network algorithm was used to optimize neural network's parameters.
为了避免神经网络的学习过程陷入局部极值点，采用人工免疫网络优化神经网络的参数。
Necessary to study new intelligent detection technology, neural network and artificial immune method are the study hot.
需要研究新的智能检测技术，其中神经网络方法和人工免疫方法是研究的热点。
The approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
This approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
This approach is based on negative selection mechanism of the natural immune system and combined with artificial neural network to be used for monitoring.
该方法是基于生物免疫系统反面选择机理，并结合人工神经网络进行监测的一种方法。
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