Synthesis of Feedforward Networks in Supremum Error Bound  

Oleh:

Ciesielski, K. ; Cios, K. J. ; Sacha, J. P.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 11 no. 6 (2000), page 1213-1227.
Topik: networks; synthesis; feedforward; networks; supremum error bound

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.4 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The main result of this paper is a constructive proof of a formula for the upper bound of the approximation error in L / sub / spl infin // (supremum norm) of multidimensional functions by feedforward networks with one hidden layer of sigmoidal units and a linear output. This result is applied to formulate a new method of neural - network synthesis. The result can also be used to estimate complexity of the maximum - error network and / or to initialize that network's weights. An example of the network synthesis is given.

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