Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

Zhenguan Li

Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

Fuzzified neural network based on fuzzy number operations may be one of powerful fuzzified neural networks. We introduced a fuzzified neural network basd on fuzzy number operations which approximates targets by choosing the shapes of the weights and the biases and calculating the left, mean and right values of each weight or bias. However, as we have pointed out, the learning algorithm is a little time-consuming. We propose a parallel learning algorithm for the fuzzified neural network in this paper. The parallel learning algorithm works well for the fuzzified neural network.

Original language	English
Title of host publication	Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations
Editors	Gong Xin Shen, Soyoung S. Cha, Fu-Pen Chiang, Carolyn R. Mercer
Publisher	SPIE Digital Library
Pages	246-250
Volume	5058
Publication status	Published - 29 Apr 2003
Event	Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002 - Beijing, China Duration: 03 Sept 2002 → 06 Sept 2002

Conference

Conference	Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002
Country/Territory	China
City	Beijing
Period	03/09/02 → 06/09/02

Mathematics (Journal)
Li, Z. (Reviewer)
10 Dec 2023 → 10 Jan 2024
Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee
Mathematical and Compuational Applications (Journal)
Li, Z. (Reviewer)
01 Sept 2023 → 30 Oct 2023
Activity: Publication peer-review and editorial work › Peer review responsibility, including review panel or committee

Cite this

@inproceedings{0eef9d22c3a5432e8960cc8d3c78b67d,

title = "Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations",

abstract = "Fuzzified neural network based on fuzzy number operations may be one of powerful fuzzified neural networks. We introduced a fuzzified neural network basd on fuzzy number operations which approximates targets by choosing the shapes of the weights and the biases and calculating the left, mean and right values of each weight or bias. However, as we have pointed out, the learning algorithm is a little time-consuming. We propose a parallel learning algorithm for the fuzzified neural network in this paper. The parallel learning algorithm works well for the fuzzified neural network.",

keywords = "Image Processing, Optical Technology, Fluids",

author = "Zhenguan Li",

year = "2003",

month = apr,

day = "29",

language = "English",

volume = "5058",

pages = "246--250",

editor = "Shen, {Gong Xin} and Cha, {Soyoung S. } and Chiang, {Fu-Pen } and Mercer, {Carolyn R.}",

booktitle = "Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations",

publisher = "SPIE Digital Library",

note = "Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002 ; Conference date: 03-09-2002 Through 06-09-2002",

}

Li, Z 2003, Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations. in GX Shen, SS Cha, F-P Chiang & CR Mercer (eds), Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations. vol. 5058, SPIE Digital Library, pp. 246-250, Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002, Beijing, China, 03/09/02.

Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations. / Li, Zhenguan.
Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations. ed. / Gong Xin Shen; Soyoung S. Cha; Fu-Pen Chiang; Carolyn R. Mercer. Vol. 5058 SPIE Digital Library, 2003. p. 246-250.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

AU - Li, Zhenguan

PY - 2003/4/29

Y1 - 2003/4/29

N2 - Fuzzified neural network based on fuzzy number operations may be one of powerful fuzzified neural networks. We introduced a fuzzified neural network basd on fuzzy number operations which approximates targets by choosing the shapes of the weights and the biases and calculating the left, mean and right values of each weight or bias. However, as we have pointed out, the learning algorithm is a little time-consuming. We propose a parallel learning algorithm for the fuzzified neural network in this paper. The parallel learning algorithm works well for the fuzzified neural network.

AB - Fuzzified neural network based on fuzzy number operations may be one of powerful fuzzified neural networks. We introduced a fuzzified neural network basd on fuzzy number operations which approximates targets by choosing the shapes of the weights and the biases and calculating the left, mean and right values of each weight or bias. However, as we have pointed out, the learning algorithm is a little time-consuming. We propose a parallel learning algorithm for the fuzzified neural network in this paper. The parallel learning algorithm works well for the fuzzified neural network.

KW - Image Processing

KW - Optical Technology

KW - Fluids

M3 - Conference paper

VL - 5058

SP - 246

EP - 250

BT - Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

A2 - Shen, Gong Xin

A2 - Cha, Soyoung S.

A2 - Chiang, Fu-Pen

A2 - Mercer, Carolyn R.

PB - SPIE Digital Library

T2 - Optical Technology and Image Processing for Fluids and Solids Diagnostics 2002

Y2 - 3 September 2002 through 6 September 2002

ER -

Parallel learning algorithm for fuzzy neural networks based on fuzzy numbers operations

Abstract

Conference

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Mathematics (Journal)

Mathematical and Compuational Applications (Journal)

Cite this