Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptrons.
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.
Chiang
C C
CC
Comput. and Commun. Lab., ITRI, Hsinchu.
Fu
H C
HC