Intelligent Mental Pension System on Account of BP Nerve Network Algorithm

Abstract

Artificial nerve network (Ann) algorithm has been developing rapidly for many years and has made great contributions to solving real model problems. BP nerve network algorithm has made great breakthrough in many economic fields and made great contribution to the design of intelligent mental pension system. Under the background of BP nerve network algorithm, it is a huge deal to strengthen the design of intelligent mental endowment system. The design of the intelligent mental endowment system is to solve the problem that the information of the decentralized management system of the traditional mental nursing home is isolated and the mental endowment service facilities cannot meet the needs of real-time nursing. The system unites the superiority of RFID technology and video linkage monitoring to monitor the condition of the elderly in real time, and children can know their parents’ health status at any time. This article studies the concept and related knowledge on account of BP nerve network algorithm, explains a series of viewpoints and theories of intelligent mental pension system design on account of BP nerve network algorithm. In this text, the data test, on account of BP nerve network algorithm of intelligent mental pension system design research, test results show that the design of intelligent mental pension system on account of BP nerve network algorithm in system management efficiency, avoiding target deviation rate, model parameter optimization rate and adaptability reached 83.30%, 90.14%, etc. 92.85% and 98.28%.