E-SCP e-SDDC E-SMARRT E-SMLC e-SORN E-SPEC E-SPF e-STA E-STARS E-STEP e-STMP E-TACS E-TDMA E-TESTS E-TMDER E-TOIMS E-TOWN E-TSPC E-TV É-U E-UAV E-UCCH E-UTRA E-VALUE E-VAN E-VSB E-W E-WEHP E-Z
Repeat step 2.) until RSSE [less than or equal to] [epsilon] or iteration number t > T. For any [lambda] [greater than or equal to] 0, the sequence of RSSE values, defined by the Algorithm 1 converges. Matrix-based neural network with linear nodes/Tiesinis neuroninis matricu tink...
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