Adaptive multi-module approximation network

Wonil Kim; Kishan Mehrotra; Chilukuri K. Mohan

Adaptive multi-module approximation network

Wonil Kim, Kishan Mehrotra, Chilukuri K. Mohan

Department of Electrical Engineering & Computer Science

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

1 Scopus citations

Abstract

The Adaptive Multi-module Approximation Network (AMAN) associates multiple reference vectors with each module in the network; network output depends on the output of the module whose reference vector is nearest an input vector. A competitive learning mechanism associates each module with reference vectors. New modules are introduced when performance of existing modules is inadequate for some training data.

Original language	English (US)
Pages	17-22
Number of pages	6
State	Published - 1997
Event	Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97 - St.Louis, MO, USA Duration: Nov 9 1997 → Nov 12 1997

Other

Other	Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97
City	St.Louis, MO, USA
Period	11/9/97 → 11/12/97

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Software

Cite this

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title = "Adaptive multi-module approximation network",

abstract = "The Adaptive Multi-module Approximation Network (AMAN) associates multiple reference vectors with each module in the network; network output depends on the output of the module whose reference vector is nearest an input vector. A competitive learning mechanism associates each module with reference vectors. New modules are introduced when performance of existing modules is inadequate for some training data.",

author = "Wonil Kim and Kishan Mehrotra and Mohan, {Chilukuri K.}",

year = "1997",

language = "English (US)",

pages = "17--22",

note = "Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97 ; Conference date: 09-11-1997 Through 12-11-1997",

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AU - Kim, Wonil

AU - Mehrotra, Kishan

AU - Mohan, Chilukuri K.

PY - 1997

Y1 - 1997

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AB - The Adaptive Multi-module Approximation Network (AMAN) associates multiple reference vectors with each module in the network; network output depends on the output of the module whose reference vector is nearest an input vector. A competitive learning mechanism associates each module with reference vectors. New modules are introduced when performance of existing modules is inadequate for some training data.

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T2 - Proceedings of the 1997 Artificial Neural Networks in Engineering Conference, ANNIE'97

Y2 - 9 November 1997 through 12 November 1997

ER -

Adaptive multi-module approximation network

Abstract

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