Evaluation Method Of Enterprise Exhibition Propagation Effects Based On Artificial Neural Network

Enterprise exhibition is a kind of communication activity of enterprise's brand promotion and management, its function is to promote the enterprise image, spread enterprise information, promoting ideas and spirit, helping enterprises to establish brand leadership and brand premium.Enterprises and designers are responsible for the whole process of project planning and information organizing, to achieve the optimization propagation effects. Therefore, the establishment of the evaluation method of propagation effect,would be helpful for designers' decision-making.The specific works in this study are:1. Basic theory researchFirst,summarize thecrossover study on theory of communication, exhibition design and architectural design.Then, discuss the purpose, methods and merits of the application of artificial neural network in this study.2. Evaluation model establishmentDefine the specific composition of enterprise exhibition propagation effect from theperspective of communication theory.Point out four factors which affect the propagation effect:Propagation guide, Design strategy, Display expression, Audience acceptance. Base on the analysis of the four factors, presenting the prediction model of the propagation effect of enterprise culture exhibition design.3.ExperimentAccording to the principle and method of BP neural network algorithm, to evaluate the propagation effects of two different design scheme under same background.First, collecting data of the input layer and the output layer by questionnaires, then train the data for multiple timeswith BP neural network to find out the connection weight of each factor, through the comparison and discussion, to verify the validity and feasibility of the proposed evaluation model.