Self-generating vs. self-organizing, what's different?
Self-generating vs. self-organizing, what's different?
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自生成与自组织，有什么不同？
DOI：
10.1109/icnn.1993.298773
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发表时间：
1993
期刊：
影响因子：
--
通讯作者：
A. Jennings
中科院分区：
文献类型：
--
作者：
W. Wen;V. Pang;A. Jennings
对自生成神经网络（SGNN）和自组织神经网络（SONN）进行了比较。虽然SGNN的概念是从SONN发展而来的，但所获得的结果表明，与SONN相比，它具有显着的优势。这些包括设计方法的简单性，训练和测试的速度更快，聚类/分类的准确性更高，以及更好的泛化能力。分析了SGNN上级SONN的原因。<<ETX>>
Comparisons between the self-generating neural network (SGNN) and the self-organizing neural network (SONN) are performed. Although the SGNN concept is developed from SONN, the results obtained show that it has significant advantages when compared with SONN. These include simplicity of design methodology, greater speed for both training and testing, higher accuracy of clustering/classification, and better generalization capability. An analysis is conducted to investigate why SGNN is superior to SONN.<<ETX>>