Equilbrium Capacity of Analog Feedback Neural Networks  

Oleh:

Jin, Liang ; Gupta, M. M.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 7 no. 3 (1996), page 782-787.
Topik: equilibrium; equilibrium capacity; analog feedback; neural networks

Ketersediaan

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

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Isi artikel

A method for estimating the equilibrium capacity of a general class of analog feedback neural networks is presented in this brief paper. Some explicit relationships between upper bound of the number of possible stable equilibria and the network parameters such as self - feedback coefficients, weights, and gains of a feedback neural network are obtained. Increasing the equilibrium capacity using multimodal sigmoidal functions is also discussed. Some examples are provided to demonstrate the effectiveness of the analytical results presented.

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