NDLI: On an efficient design algorithm for modular neural networks

Content Provider	IEEE Xplore Digital Library
Author	Young-Joo Moon Se-Young Oh
Copyright Year	1995
Description	Author affiliation: Dept. of Electr. Eng., Pohang Univ. of Sci. & Technol., South Korea (Young-Joo Moon; Se-Young Oh)
Abstract	A multilayer perceptron has been known to have the capability of approximating any smooth functions to any desired accuracy if it has a sufficient number of hidden neurons. But its training, based on the gradient method, is usually a time consuming procedure that may converge toward a poor local minimum. In this paper, the authors first propose a constructive design method (CDM) for two-layer perceptrons based on the analysis of a given data set. Here, some feature vectors, which can characterize the function "well" are extracted and used to construct a two-layer perceptron. But when the classes of the feature vectors are not linearly separable, the network may not approximate the function well, mainly due to the interference among the hyperplanes of hidden neurons. Second, to compensate for this interference, a systematic design procedure for the construction of modular neural networks (MNN) has been proposed. In this procedure, after partitioning the input space into many local regions a two-layer perceptron constructed by the CDM is assigned to each local region. By doing this, the classes in each local region may become linearly separable and as a result, the function may be approximated to any desired accuracy by the MNN.
Starting Page	1310
Ending Page	1315
File Size	517768
Page Count	6
File Format	PDF
ISBN	0780327683
DOI	10.1109/ICNN.1995.487346
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1995-11-27
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Neural networks Multilayer perceptrons Neurons Interference Multi-layer neural network Gradient methods Design methodology Data mining Modular construction
Content Type	Text
Resource Type	Article

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