Presentation	1996/6/21 Adaptive Multilayer Perceptrons with Automatic Gain Scaling Jianting CAO, Andrzej CICHOCKI,
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Abstract(in English)	In this paper, we present feedforward neural network with an automatic gain amplifier in the output, layer for solving the scaling problem. We also propose an adaptive learning algorithm for updating the gain factor m(t), so the any range of desired output can be achieved without a prior knowledge of unknown nonlinear system. Due to adaptive gain factor, the high estimation accuracy and fast convergence can be obtained. Simulation results are presented to illustrate the effectiveness and performance of the proposed method.
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Keyword(in English)	Learning algorithm / automatic scaling / adaptive neural networks
Paper #	NC96-11
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Conference Information
Committee	NC
Conference Date	1996/6/21(1days)
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Paper Information
Registration To	Neurocomputing (NC)
Language	ENG
Title (in Japanese)	(See Japanese page)
Sub Title (in Japanese)	(See Japanese page)
Title (in English)	Adaptive Multilayer Perceptrons with Automatic Gain Scaling
Sub Title (in English)
Keyword(1)	Learning algorithm
Keyword(2)	automatic scaling
Keyword(3)	adaptive neural networks
1st Author's Name	Jianting CAO
1st Author's Affiliation	Laboratory for Artificial Brain Systems, FRP, The Institute of Physical and Chemical Research (RIKEN)()
2nd Author's Name	Andrzej CICHOCKI
2nd Author's Affiliation	Laboratory for Artificial Brain Systems, FRP, The Institute of Physical and Chemical Research (RIKEN)
Date	1996/6/21
Paper #	NC96-11
Volume (vol)	vol.96
Number (no)	117
Page	pp.pp.-
#Pages	6
Date of Issue