Neural network ensemble with temperature control

Pitoyo Hartono; Shuji Hashimoto

Neural network ensemble with temperature control

Pitoyo Hartono^*, Shuji Hashimoto

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

Abstract

In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.

Original language	English
Title of host publication	Proceedings of the International Joint Conference on Neural Networks
Place of Publication	United States
Publisher	IEEE
Pages	4073-4078
Number of pages	6
Volume	6
Publication status	Published - 1999
Event	International Joint Conference on Neural Networks (IJCNN'99) - Washington, DC, USA Duration: 1999 Jul 10 → 1999 Jul 16

Other

Other	International Joint Conference on Neural Networks (IJCNN'99)
City	Washington, DC, USA
Period	99/7/10 → 99/7/16

ASJC Scopus subject areas

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title = "Neural network ensemble with temperature control",

abstract = "In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.",

author = "Pitoyo Hartono and Shuji Hashimoto",

year = "1999",

language = "English",

volume = "6",

pages = "4073--4078",

booktitle = "Proceedings of the International Joint Conference on Neural Networks",

publisher = "IEEE",

note = "International Joint Conference on Neural Networks (IJCNN'99) ; Conference date: 10-07-1999 Through 16-07-1999",

}

TY - GEN

T1 - Neural network ensemble with temperature control

AU - Hartono, Pitoyo

AU - Hashimoto, Shuji

PY - 1999

Y1 - 1999

N2 - In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.

AB - In this paper we propose a model of neural network ensemble composed of a number of multi layer perceptrons (MLP), each with a unique expertise. Using temperature control the most appropriate ensemble member will be automatically activated for a given environment while the irrelevant members will be inhibited. The proposed temperature control will enable the neural network ensemble to work efficiently in multiple environments.

UR - http://www.scopus.com/inward/record.url?scp=0033344784&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0033344784&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0033344784

VL - 6

SP - 4073

EP - 4078

BT - Proceedings of the International Joint Conference on Neural Networks

PB - IEEE

CY - United States

T2 - International Joint Conference on Neural Networks (IJCNN'99)

Y2 - 10 July 1999 through 16 July 1999

ER -

Neural network ensemble with temperature control

Abstract

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