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METHOD FOR CALIBRATING POWER BY USING A NEURON ALGORITHM, PARTICULARLY FOR INCREASING ACCURACY OF A CALIBRATED VALUE OF A FREQUENCY CHANNEL IN ORDER TO SHORTEN A CALIBRATION TIME WHICH IS LENGTHENED ACCORDING TO AN INCREASE IN THE FREQUENCY CHANNEL
METHOD FOR CALIBRATING POWER BY USING A NEURON ALGORITHM, PARTICULARLY FOR INCREASING ACCURACY OF A CALIBRATED VALUE OF A FREQUENCY CHANNEL IN ORDER TO SHORTEN A CALIBRATION TIME WHICH IS LENGTHENED ACCORDING TO AN INCREASE IN THE FREQUENCY CHANNEL
PURPOSE: A method for calibrating power by using a neuron algorithm is provided to solve a problem that an arithmetic mean value is collectively and indiscriminatively applied regardless of characteristics of each mobile terminal. CONSTITUTION: An input value, including a mobile phone group, a specific frequency channel and an arbitrary frequency channel, and a weight value for study are applied to a neuron structure(S101). An output value including a specific frequency channel power calculation value and an arbitrary frequency channel power calibration value is calculated through the neuron structure(S102). An error value is calculated by comparing the output value and an actually extracted power calibration value(S103). It is determined whether the error value is smaller than a predetermined allowable error value, and if the error value is smaller than the predetermined allowable error, an expression function is calculated by the weight value-applied neuron structure and determined as study result data(S104,S105).
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