Complexity reduction to non-singleton fuzzy-neural network

Annamária R. Várkonyi-Kóczy; Kin Fong Lei; Masaharu Sugiyama; Hirotsugu Asai

Complexity reduction to non-singleton fuzzy-neural network

Annamária R. Várkonyi-Kóczy^*
, Kin Fong Lei
, Masaharu Sugiyama
, Hirotsugu Asai

^*Corresponding author for this work

Research output: Contribution to conference › Conference Paper › peer-review

Abstract

Singular value based reduction technique has been proposed for a singleton based fuzzy-neural network. In fuzzy theory the use of non-singleton consequent based Takagi-Sugeno model is also adopted. Applying non-singleton based fuzzy model in fuzzy-neural networks the non-singleton based network is obtained. The main objective of this work is to extend the SVD based reduction technique proposed for fuzzy-neural network to non-singleton based fuzzy-neural network.

Original language	English
Pages	2523-2528
Number of pages	6
State	Published - 2001
Externally published	Yes
Event	Joint 9th IFSA World Congress and 20th NAFIPS International Conference - Vancouver, BC, Canada Duration: 25 07 2001 → 28 07 2001

Conference

Conference	Joint 9th IFSA World Congress and 20th NAFIPS International Conference
Country/Territory	Canada
City	Vancouver, BC
Period	25/07/01 → 28/07/01

Cite this

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title = "Complexity reduction to non-singleton fuzzy-neural network",

abstract = "Singular value based reduction technique has been proposed for a singleton based fuzzy-neural network. In fuzzy theory the use of non-singleton consequent based Takagi-Sugeno model is also adopted. Applying non-singleton based fuzzy model in fuzzy-neural networks the non-singleton based network is obtained. The main objective of this work is to extend the SVD based reduction technique proposed for fuzzy-neural network to non-singleton based fuzzy-neural network.",

author = "V{\'a}rkonyi-K{\'o}czy, \{Annam{\'a}ria R.\} and Lei, \{Kin Fong\} and Masaharu Sugiyama and Hirotsugu Asai",

year = "2001",

language = "英语",

pages = "2523--2528",

note = "Joint 9th IFSA World Congress and 20th NAFIPS International Conference ; Conference date: 25-07-2001 Through 28-07-2001",

}

TY - CONF

T1 - Complexity reduction to non-singleton fuzzy-neural network

AU - Várkonyi-Kóczy, Annamária R.

AU - Lei, Kin Fong

AU - Sugiyama, Masaharu

AU - Asai, Hirotsugu

PY - 2001

Y1 - 2001

N2 - Singular value based reduction technique has been proposed for a singleton based fuzzy-neural network. In fuzzy theory the use of non-singleton consequent based Takagi-Sugeno model is also adopted. Applying non-singleton based fuzzy model in fuzzy-neural networks the non-singleton based network is obtained. The main objective of this work is to extend the SVD based reduction technique proposed for fuzzy-neural network to non-singleton based fuzzy-neural network.

AB - Singular value based reduction technique has been proposed for a singleton based fuzzy-neural network. In fuzzy theory the use of non-singleton consequent based Takagi-Sugeno model is also adopted. Applying non-singleton based fuzzy model in fuzzy-neural networks the non-singleton based network is obtained. The main objective of this work is to extend the SVD based reduction technique proposed for fuzzy-neural network to non-singleton based fuzzy-neural network.

UR - https://www.scopus.com/pages/publications/0035792422

M3 - 论文

AN - SCOPUS:0035792422

SP - 2523

EP - 2528

T2 - Joint 9th IFSA World Congress and 20th NAFIPS International Conference

Y2 - 25 July 2001 through 28 July 2001

ER -

Complexity reduction to non-singleton fuzzy-neural network

Abstract

Conference

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