Neural Network Algorithm for Designing Intelligent Psychological Monitoring System

The emergence of intelligent psychological monitoring system can effectively provide the accuracy and related efficiency of psychological evaluation, explore the optimization and transfer process of psychological counseling, and assist psychological counselors to complete related work, so as to realize psychological evaluation and related intelligence and reference. The purpose of this paper is to automatically identify the key information related to psychological state from a large number of multi-source data through the intelligent psychological monitoring system based on neural network algorithm, and to weight it. Through experimental verification, this model has achieved good performance in the classification and prediction of psychological state, and realized the real-time monitoring and evaluation of individual psychological state, effectively extracted psychological characteristics from multi-source data, and classified and predicted them, which has important theory.