A Novel Neuron in Kernel Domain | Zendy

Zahra Khandan | Zendy; Hadi Sadoghi Yazdi | Zendy

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A Novel Neuron in Kernel Domain

Author(s) -

Zahra Khandan,

Hadi Sadoghi Yazdi

Publication year - 2013

Publication title -

isrn signal processing

Language(s) - English

Resource type - Journals

eISSN - 2090-505X

pISSN - 2090-5041

DOI - 10.1155/2013/748914

Subject(s) - kernel (algebra) , computer science , artificial neural network , artificial intelligence , backpropagation , radial basis function kernel , tree kernel , variable kernel density estimation , pattern recognition (psychology) , kernel embedding of distributions , domain (mathematical analysis) , kernel method , machine learning , algorithm , mathematics , support vector machine , mathematical analysis , combinatorics

Kernel-based neural network (KNN) is proposed as a neuron that is applicable in online learning with adaptive parameters. This neuron with adaptive kernel parameter can classify data accurately instead of using a multilayer error backpropagation neural network. The proposed method, whose heart is kernel least-mean-square, can reduce memory requirement with sparsification technique, and the kernel can adaptively spread. Our experiments will reveal that this method is much faster and more accurate than previous online learning algorithms.

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