脉冲耦合神经网络模型与应用。
PCNN models and applications.
作者信息
Johnson J L, Padgett M L
机构信息
U.S. Army, MICOM, Photonics and Optical Science, Redstone Arsenal, AL 35898-5248, USA.
出版信息
IEEE Trans Neural Netw. 1999;10(3):480-98. doi: 10.1109/72.761706.
PMID:18252547
Abstract
The pulse coupled neural network (PCNN) models are described. The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model. Applications and implementations of PCNN's are reviewed. Application based variations and simplifications are summarized. The PCNN image decomposition (factoring) model is described in new detail.
摘要
本文描述了脉冲耦合神经网络（PCNN）模型。连接场调制项被证明是任何基于生物学的树突模型的一个普遍特征。综述了PCNN的应用和实现。总结了基于应用的变体和简化方法。详细介绍了PCNN图像分解（因式分解）模型。
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