DocumentCode :
2620429
Title :
Realization of Boolean functions by perceptron algorithm
Author :
Liu, Ruey-wen ; Chai, Zhi-Hong
Author_Institution :
Notre Dame Univ., IN, USA
fYear :
1990
fDate :
1-3 May 1990
Firstpage :
704
Abstract :
Summary form only given. A two-step design procedure is proposed so that any Boolean function can be realized by the reliable perceptron algorithm. The first step is the learning phase. In the second step, the outputs are simply connected to an OR-gate, a perceptron by itself
Keywords :
artificial intelligence; neural nets; Boolean functions realisation; OR-gate; any Boolean function; learning phase; perceptron algorithm; two-step design procedure; Algorithm design and analysis; Boolean functions; Convergence; Hypercubes; Intelligent networks; Multilayer perceptrons; Neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
Type :
conf
DOI :
10.1109/ISCAS.1990.112176
Filename :
112176
Link To Document :
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