Design Of Decision Module For Home Intelligent Service System Based On Elman Neural Network

With the rapid development of science and technology and the deepening of social informatization,information communication technology,computer network technology and technology of Internet of Things(IoT)has been widely applied to various fields of people's life,greatly enhance people's quality of life.Home environment as is one of the most closely related to people's daily life,more and more people are pursuing their convenience,security,intelligence,comfort and controllability.The present situation to the system of home environment oriented in terms of intelligence is still very short,the user has a lot of inconvenience to utilize,the system can not be reasonable to provide users with real-time services.In order to meet the urgent needs of the people,improve the home environment,the realization of intelligent home environment,a more suitable system of intelligent home services is must be designed.However,it is very important to research and design the decision sub-system in the whole home intelligent service system,it's the key step to realize the system's smart and comfort.In this paper,firstly,the current research status of home intelligent decision system is investigated,and the research ideas and methods are summarized.Drawing from the existing home intelligent system,this paper gives a comprehensive description of the characteristics and the overall architecture of the whole home intelligent service system,highlights the key role of intelligent decision making in the whole home intelligent system,and then introduces the related technologies of intelligent decision system.Secondly,the overall structure of the intelligent decision module and the peripheral circuit were designed,and a detailed functional analysis.On this basis,the neural network model is introduced and the applicability of the intelligent decision is analyzed.By comparing,the Elman neural network is selected to apply in the home intelligent decision for system modeling and algorithm design.Finally,the platform of the whole intelligent decision system is built,determine the evaluation criteria and methods of intelligent decision making,and the corresponding model simulation and system debugging are carried out according to the collected data to verify the accuracy and feasibility of intelligent decision making.