Neural network-based base station coverage abnormality inspection system and method including a neural network learning model, an input data module and a prediction data calculation module

The present invention discloses a neural network learning model, which associates a mass data database with a base station database based on a historical data to model at least one weight and at least one partial weight of a neural network. The model includes an input data module, which collects at...

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Bibliographische Detailangaben

Hauptverfasser:	PENG, YUANING, LIN, CHAONG, HSIAO, WEI-TE, FANG, YU-HSIANG
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING ELECTRIC DIGITAL DATA PROCESSING PHYSICS
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