文献[6]提出一种基于人工免疫原理的竞争神经网络模型—抗体网络(Antibody Network，ABNET)。为了评估其性能，抗体网络被应用到三个不同的问题中进行验证。
基于4个网页-相关网页
The algorithm has been tested on a network data set. The result showed that it had much better performance than traditional Abnet.
通过对网络数据集的测试表明，该算法相对于传统抗体网络，其检测效率得到了明显的改善。
The mail filter based on improved ABNET is better at adaptation and accuracy in experiments, compared with traditional mail filters.
在此基础上设计的邮件过滤器，和传统的邮件过滤器相比，实验结果表明其具有自适应能力好、准确性高等优点。
The Antibody Network (ABNET), which is a new 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，已有的实验验证了其具有良好的无监督竞争学习能力。
应用推荐