2015 XTH International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT) 2015
DOI: 10.1109/stc-csit.2015.7325432
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Synthesis of the integer neural elements

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Cited by 11 publications
(2 citation statements)
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“…It seems to be also interesting to find the bounds of the number of algorithm iterations, to estimate the size of corresponding integer weights of PTU and to compare them with the ones from [11].…”
Section: Discussionmentioning
confidence: 99%
“…It seems to be also interesting to find the bounds of the number of algorithm iterations, to estimate the size of corresponding integer weights of PTU and to compare them with the ones from [11].…”
Section: Discussionmentioning
confidence: 99%
“…When users get a message about the current non-optimal rate of electricity usage, after the personal investigation and making a decision [19] about the absence of detected problems the user can add these parameters of home devices and corresponding total electricity usage rate to a training data for future similar situations. The structure of the neural network that used to determine the variation of electricity loses for parameters of intelligent house devices determined by experimental results [20]: Optimal electricity usage level chart calculated using an algorithm of the artificial neural network [21,22] and real electricity consumption chart shows the periods of time in which was defined the non-optimal usage of electricity according to current parameters of home devices in every given moment of analysis: Storage of the electricity usage data related to settings of home devices and analyzation of this data in SaaS model is running on the provider side. This task is resourceintensive and does not need fast feedback, so switching of this functionality part to the provider side will optimize computation resources of system client side that will increase the performance of the whole system.…”
Section: Energy Efficiency Analysis Based On Saas Modelmentioning
confidence: 99%