Immune networks theory plays an important role in artificial intelligence.
免疫网络理论在人工智能中起着十分重要的作用。
This paper tries to provide a solution for the parameters adjustment in the intelligent information retrieval model, by using the new soft computing technology artificial immune networks.
本文提出尝试用人工免疫网络这一新兴的软计算技术为智能化信息检索模型中的知识库参数调整提供解决之道。
On the other hand, the artificial immune system in data mining mainly adopts the basic immune algorithms, which ignore the unique characters of the other immune mechanisms such as the immune networks.
目前对于基于人工免疫系统的数据挖掘技术的研究，多使用的是基本的免疫算法，而忽略了免疫网络模型等其它免疫机理所具有的独特优势。
Networks Without Messy Human Interaction Are immune.
没有人为胡乱干涉的网络具有免疫性。
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。
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。
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