NDLI: Memory effects description by neural networks with delayed feedback connections

Content Provider	IEEE Xplore Digital Library
Author	Koprinkova, P.D. Patarinska, T.D. Petrova, M.N.
Copyright Year	2002
Description	Author affiliation: Inst. of Control & Syst. Res., Bulgarian Acad. of Sci., Sofia, Bulgaria (Koprinkova, P.D.; Patarinska, T.D.; Petrova, M.N.)
Abstract	For the purpose of dynamical systems modelling it was proposed to include feedback connections or delay elements in the classical feedforward neural network structure so that the present output of the neural network depends on its previous values. These delay elements can be connected to the hidden and/or output neurons of the main neural network. Each delay element gets a value of a state variable at a past. time instant and keeps this value during a single sampling period. The groups of delay elements record the values of the state variables for a given time period in the past. Changing the number of the delay elements, which belongs to one group, a shorter or a longer time period in the past can be accounted for. Thus, the connection weights determine the influence of the past process states on the present state in a similar way as it is in the time delay kernel or CER-MF models. Specific feedforward neural networks with time delay connections are employed to solve the problem of neural network chemostat modelling as well as specific kinetic rates modelling. The obtained during models training weights of the feedback connections are discussed as the points of a time delay kernel or as the strength levels in a CER model (the points in the CER-MF). The corresponding changes in these weights with changing of the time period in the past that is accounted for are shown.
Sponsorship	IEEE Control Syst. Soc. IEEE Instrum. & Meas. Soc. IEEE Region 8 Knowledge Eng. & Discovery Res. Inst. - Auckland Univ. Technol. IEEE IM/CS/SMC Joint Chapter of Bulgaria IEEE Sect. Bulgaria ICT Dev. Agency
Starting Page	277
Ending Page	282
File Size	409246
Page Count	6
File Format	PDF
ISBN	0780371348
DOI	10.1109/IS.2002.1044268
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-10
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Neural networks Delay effects Neurofeedback Feedforward neural networks Artificial neural networks Neurons Kernel Output feedback Control systems Mathematical model
Content Type	Text
Resource Type	Article

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