title: Using multithreshold quadratic sigmoidal neurons to improve classification capability of multilayer perceptrons.
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.
authors.affiliation: Comput. and Commun. Lab., ITRI, Hsinchu.
authors.forename: C C
authors.initials: CC
authors.lastname: Chiang
authors.forename: H C
authors.initials: HC
authors.lastname: Fu