Complex Functional Network Hebbian-Type Learning Algorithm and Convergence

作者: Yongquan Zhou , Yanlian Du , Zhengxin Huang

DOI: 10.1007/978-3-642-14831-6_1

关键词:

摘要: In this paper, functional network have been extension complex value situations, a Hebbian-type learning algorithm for training neural whose inputs, outputs and parameter are all was proposed, based on the TLS criterion, rather than common LS or LMS. Finally, Hebbian neuron of convergence is proved that purpose application provides theory basis.

参考文章(5)
Lei Xu, Erkki Oja, Ching Y. Suen, Modified Hebbian learning for curve and surface fitting Neural Networks. ,vol. 5, pp. 441- 457 ,(1992) , 10.1016/0893-6080(92)90006-5
Erkki Oja, Liuyue Wang, Robust fitting by nonlinear neural units Neural Networks. ,vol. 9, pp. 435- 444 ,(1996) , 10.1016/0893-6080(95)00071-2
Enrique Castillo, Rosa Eva Pruneda, Angel Cobo, José Manuel Gutiérrez, Functional Networks with Applications ,(2011)
Sabine Van Huffel, Joos Vandewalle, The total least squares technique: computation, properties and applications SVD and signal processing : Algorithms, applications and architectures. pp. 189- 207 ,(1988)
Enrique Castillo, Functional Networks Neural Processing Letters. ,vol. 7, pp. 151- 159 ,(1998) , 10.1023/A:1009656525752