Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptrons

Authors:
Cheng-Chin Chiang;Hsin-Chia Fu
Affiliations:
Comput. & Commun. Lab., ITRI, Hsinchu;-
Venue:
IEEE Transactions on Neural Networks
Year:
1994

Citing 0
Cited 1

Hardware implementation of new bell-shaped pulse mode neural network with on-chip learning and application to image processing

International Journal of High Performance Systems Architecture

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Abstract

This letter proposes a new type of neurons called multithreshold quadratic sigmoidal neurons to improve the classification capability of multilayer neural networks. In cooperation with single-threshold quadratic sigmoidal neurons, the multithreshold quadratic sigmoidal neurons can be used to improve the classification capability of multilayer neural networks by a factor of four compared to committee machines and by a factor of two compared to the conventional sigmoidal multilayer perceptrons