๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

P-ADIC DYNAMICAL SYSTEMS AND NEURAL NETWORKS

โœ Scribed by ALBEVERIO, SERGIO; KHRENNIKOV, ANDREI; TIROZZI, BRUNELLO


Book ID
120991600
Publisher
World Scientific Publishing Company
Year
1999
Tongue
English
Weight
482 KB
Volume
09
Category
Article
ISSN
0218-2025

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๐Ÿ“œ SIMILAR VOLUMES


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Models for the identification and control of nonlinear dynamical systems using neural networks were introduced by Narendra and Parthasarathy in 1990, and methods for the adjustment of model parameters were also suggested. Simulation results of simple nonlinear systems were presented to demonstrate t

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โœ S. Albeverio; A. Khrennikov; B. Tirozzi; S. De Smedt ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› SP MAIK Nauka/Interperiodica ๐ŸŒ English โš– 813 KB
Dynamical systems produced by recurrent
โœ Masahiro Kimura; Ryohei Nakano ๐Ÿ“‚ Article ๐Ÿ“… 2000 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 237 KB ๐Ÿ‘ 2 views

Concerning the learning problems of recurrent neural networks (RNNs), this paper deals with the problem of approximating a dynamical system (DS) by an RNN as one extension of the problem of approximating trajectories by an RNN. In particular, we systematically investigate how an RNN can produce a DS