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| CONSTRUCTIONAL METHOD OF FUNCTION APPROXIMATION OF GNN |
| Wei Gang; Tian Chuanjun |
| College of Electron and Info. Eng., South China Uni. of Tech.,Guangzhou 510641 China |
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Abstract In this paper, the function approximation of Gelenbe Neural Network (GNN) is discussed and it is proved that GNN can approximate any G-type polynomial by using constructional method. Number of units used by this method can be reduced to 2/(n+1) of that used by previous methods for a same G-type polynomial, where n is the degree of G-type polynomial.
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Received: 07 January 2000
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2001, Vol. 23 
