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主要考察了一类动态系统——带有不同时间尺度竞争神经网络的全局指数稳定性问题。
This paper studies the problem of globally exponential stability for the cellular neural networks.
第三章在算法层次上提出了基于自组织竞争神经网络数据挖掘算法的知识发现系统用于生成拟定的结构方案。
Chapter 3 Applies the KDD system whose data-mining algorithm is based on Self-Organizing Neural Network for generating initial alternative designs.
在这十年里，研究神经网络的人因缺少竞争分类方法知识而受挫折。
In that period, the neural network community suffered from lack of knowledge on the competing classification procedures.
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