自组织神经网络可以进行无监督学习,且可以边学习边工作,因此本文提出的方法追踪迅速,自动化程度高。
The method is rapid in tracking and high in automation degree because the self-organizing neural network can learn without supervision and can learn and work at the same time.
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.
现在我已经做了对的监督和无监督学习算法,如决策树,一些基本的阅读聚类,神经网络等。
Now I have done some basic reading on supervised and unsupervised learning algorithms such as decision trees, clustering, neural networks... etc.
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