DocumentCode :
2755291
Title :
Synthesis of three-layer perceptrons for parity functions
Author :
Kim, Jung H. ; Park, Sung-kwon
Author_Institution :
Center for Adv. Comput. Studies, Univ. of Southwestern Louisiana, Lafayette, LA, USA
fYear :
1991
fDate :
8-14 Jul 1991
Abstract :
Summary form only given, as follows. The synthesis of a three-layer perceptron has been proposed for a parity function. Since a parity function is not a linearly separable function, more than one processing element (PE) is required to realize a parity function. It turns out that the required number of PEs in the hidden layer of a three-layer perceptron is equal to n for an n-bit parity function. Since the weights of a PE in the proposed perceptron are set to either 1 or -1, the PE does not require multipliers. This will greatly facilitate actual hardware implementation of the proposed perceptrons using digital VLSI technology
Keywords :
neural nets; hidden layer; neural nets; parity functions; processing element; three-layer perceptrons; Computational modeling; Concurrent computing; Distributed computing; Equations; Hardware; History; Hysteresis; Laboratories; Multilayer perceptrons; Pattern recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991., IJCNN-91-Seattle International Joint Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-0164-1
Type :
conf
DOI :
10.1109/IJCNN.1991.155658
Filename :
155658
Link To Document :
بازگشت