BMAC neural network and its application in function learning

Zhao Du Liu*, Yue Feng Ma, Jing Bo Zhang, Zhi Quan Qi, Ming Song

*此作品的通讯作者

科研成果: 期刊稿件文章同行评审

1 引用 (Scopus)

摘要

BMAC neural network is established by the introduction of B-splines into CMAC neural network. The ways of establishing BMAC and the specialties of BMAC output and its receptive field functions are described in details. BMAC has continuous input and output space compared with CMAC whose input and output space are dispersed. In function learning, BMAC approaches faster and is more accurate than CMAC. At the same time, rules of influence of the studying parameters and weights initialization in function learning are obtained.

源语言英语
页(从-至)858-861
页数4
期刊Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
24
10
出版状态已出版 - 10月 2004

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