Design of Self-Organizing Probabilistic Neural Networks

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Title:	Design of Self-Organizing Probabilistic Neural Networks
Other Titles:	自組式概率神經網路之設計
Authors:	曾敏烈
Contributors:	機械系
Date:	1997-06
Issue Date:	2010-06-08 11:20:44 (UTC+8)
Abstract:	本文主要在設計一自組式概率神經網路，用以有效估算連續變數冬概率。此一神經網路不僅可以根據數據來自行調整架構，並且只需固定的儲存空間。對於大量資訊之有效處理，應有很大的助益。 In this study, we first discuss the problems of classifications versus explicit probability distributions. A self-organizing probabilistic neural network with a fixed size storage is then contrived for continuous variables to effectively estimate the probability density functions The simulation results are discussed.
Relation:	華岡工程學報 11期 P.33-47
Appears in Collections:	[Department of Mechanical Engineering ] journal articles

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