Noisy Recurrent Neural Networks : The Discrete-Time Case  

Oleh:

Olurotimi, O. ; Das, S.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 9 no. 5 (1998), page 937-946.
Topik: DISCRETE - TIME SYSTEMS; noisy; neural networks; discrete - time; case

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

Fingings concerning the behaviour of continuous-time recurrent neural networks (RNN) are specialized to the discrete - time (so - called time - lagged recurrent) case. Uniform boundedness of the first and second moment sequences of the trajectory is established. For practical design purposes, estimates and bounds on the bias and variance sequences of the stochastic discrete - time RNN are derived. A script file for estimating the variance bounds for specified designs is provided.

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