Construction of intelligent elderly care service platform based on neural network algorithm
Jingbin Xu, Huiru Xin, Z. Wang · IET conference proceedings. · 2022
With the gradual affirmation of family informatization and the networking with the community, caring for community-based care for the elderly will become an inevitable practice for elderly care in the information age. Therefore, it is imperative to develop an intelligent elderly care service platform based on neural network algorithms, and in view of the local sound information management of the elderly, improve the existing local elderly care service model to solve the problem of inappropriate local elderly care services. Let the elderly also enjoy the convenience of information technology services. The purpose of this paper is to study the intelligent elderly care service platform based on neural network algorithm. This paper introduces the neural network model and analyzes the applicability of intelligent decision-making. Through the comparison and selection of neural network, it is applied to the system modeling of home intelligent decision-making and the decision-making algorithm design. Finally, build a platform for the intelligent decision-making system in the entire home environment, and determine the evaluation standards and methods of intelligent decision-making. The experimental research shows that the number of requests per second that can be processed by the main functional interfaces of the platform designed in this paper is mainly between 5000-10000, which can basically meet thousands of community elderly groups.