The Proposal of Two New Recurrent Radial Basis Function Neural Networks

Niusha Shafiabady; Dino Isa; M.A.Nima Vakilian

The Proposal of Two New Recurrent Radial Basis Function Neural Networks

Niusha Shafiabady, Dino Isa, M.A.Nima Vakilian

Research output: Contribution to journal › Article › peer-review

Abstract

Two types of new recurrent RBF neural networks are
introduced here and are applied on four test problems that are
used for identification. The proposed recurrent RBF neural
networks use both the power of the recurrent neural networks
together with the abilities of the RBF neural networks so it
can achieve good results.

Original language	English
Pages (from-to)	32–39
Number of pages	8
Journal	International Journal of Computer Applications
Volume	92
Issue number	3
Publication status	Published - 2014
Externally published	Yes

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title = "The Proposal of Two New Recurrent Radial Basis Function Neural Networks",

abstract = "Two types of new recurrent RBF neural networks areintroduced here and are applied on four test problems that areused for identification. The proposed recurrent RBF neuralnetworks use both the power of the recurrent neural networkstogether with the abilities of the RBF neural networks so itcan achieve good results.",

author = "Niusha Shafiabady and Dino Isa and M.A.Nima Vakilian",

year = "2014",

language = "English",

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AU - Isa, Dino

AU - Vakilian, M.A.Nima

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N2 - Two types of new recurrent RBF neural networks areintroduced here and are applied on four test problems that areused for identification. The proposed recurrent RBF neuralnetworks use both the power of the recurrent neural networkstogether with the abilities of the RBF neural networks so itcan achieve good results.

AB - Two types of new recurrent RBF neural networks areintroduced here and are applied on four test problems that areused for identification. The proposed recurrent RBF neuralnetworks use both the power of the recurrent neural networkstogether with the abilities of the RBF neural networks so itcan achieve good results.

M3 - Article

VL - 92

SP - 32

EP - 39

JO - International Journal of Computer Applications

JF - International Journal of Computer Applications

IS - 3

ER -

The Proposal of Two New Recurrent Radial Basis Function Neural Networks

Abstract

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