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.
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。
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.
试验表明，只要样本空间映射合理，这种自组织无监督的神经网络具有很好的自学习功能，在工程中具有广泛的应用前景。
The test proves that if prototype space mapping is reasonable, then this unsupervised learning ANN has good self - learning function. It has good application in engineering.
极值控制时神经网络进行有监督的学习，远程控制时神经网络进行无监督的学习。
Neural networks controller is trained under supervised signal when system works at extreme control mode and there is no supervised signal when system works at distal control mode.
极值控制时神经网络进行有监督的学习，远程控制时神经网络进行无监督的学习。
Neural networks controller is trained under supervised signal when system works at extreme control mode and there is no supervised signal when system works at distal control mode.
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