THE DIAGNOSIS MODEL BUILDING ON THE BASIS OF NEGATIVE SELECTION PARADIGM USING THE PRINCIPLE OF DETECTOR ASKING
THE DIAGNOSIS MODEL BUILDING ON THE BASIS OF NEGATIVE SELECTION PARADIGM USING THE PRINCIPLE OF DETECTOR ASKING
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基于负选择范式的检测器询问原理建立诊断模型
DOI：
10.15588/1607-3274-2011-2-11
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
S. Subbotin
中科院分区：
文献类型：
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作者：
S. Zaitsev;S. Subbotin
已经开发了一种使用带有训练方法的掩模检测器的新负选择模型。已经研究了训练方法的各种停止标准。提出了停止准则。它允许终止训练过程，加速训练过程并减少计算资源。
A new negative selection model using masked detectors with training method has been developed. Various stopping criteria for the training method have been investigated. The stopping criterion is proposed. It allows to terminate training procedure, to speedup training process and to reduce computational resources.