The Application of BP Neural Network in Internet of Things

Abstract:

BP algorithm is a typical artificial neural network learning algorithm, the main structure consists of an input layer, one or more hidden layer, an output layer, the layers of the number of neurons, the output of each node the value is decided by the input values, the role, function and threshold. The Internet of Things is based on the information carrier of the traditional telecommunications network, so that all can be individually addressable ordinary physical objects to achieve the interoperability network. The paper puts forward the application of BP neural network in internet of things. The experiment shows BP is superior to RFID in internet of things.

• Periodical: Advanced Engineering Forum (Volumes 6-7)
• Pages: 1098-1102
• DOI: https://doi.org/10.4028/www.scientific.net/AEF.6-7.1098
• Online since: September 2012
• Authors: Dan Dan Cui, Fei Liu
• Keywords: BP Neural Network (BPNN), Internet of Things (IOT), Radio Frequency Identification (RFID)

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