关键词: 智能家居, 双向门控循环神经网络, 注意力机制, 行为预测

Abstract:

Aiming on the home user behavior prediction method that currently remains the problem of low accuracy, poor versatility and for lacking of humanization sense, this paper proposes a smart home user behavior prediction method based on BiGRU-DAtt model, which has two characteristics of power law distribution and symmetry according to the smart home user manipulation behavior data. This method adopts the Bidirectional Gated Recurrent Unit（BiGRU） neural network to figure out the relationship between user manipulation behaviors. The symmetry control behavior is focused within a certain range by using the attention mechanism. The comparison experiment is conducted with the real user control data. The experimental results show that this method can fully explore the association between user-controlled intelligent devices and user’s behavior habits, and achieve high accuracy user behavior prediction.

Key words: smart home, Bidirectional Gated Recurrent Unity（BiGRU）, attention mechanism, behavior prediction