Trend Prediction Model of Company Brand Influence Based on Improved Integrated Learning Algorithm
In order to avoid the impact on brand influence,combined with factors such as brand value and investment environ-ment,the single factor learning algorithm is improved,and a new company brand influence trend prediction model is built based on the improved integrated algorithm.The decision-making quantity is quantified at the bottom of the model,the traditional single-factor decision-making is quantified into multi-factor integrated decision-making,and the decision-making ability of the prediction model is enhanced by learning attributes to adapt the brand influence factors at different levels.Through comprehen-sive analysis of different influencing factors through multi-attribute and multi-class classifiers,the reliability of the prediction results of the prediction model is improved.It increases the model configuration of brand influence prediction parameters,in-tegrates the prediction advantages of each unit of the model,reasonably allocates the prediction parameters and resources,and ensures the stability of the model prediction process.The results show that the proposed model has good prediction stability quality and accurate result prediction quality,and has higher promotion value.
improved integrated learningcompany brandinfluencetrend prediction model
万方数据
维普
