Evaluation Study Of Mobile Product Delivery Channel Based On Fuzzy Neural Network

With the development of mobile Internet technology and people's lifestyles,changes in the concept of life,in the mobile Internet era,people's living conditions and working methods are from the previous PC side of a wide range,gradually transferred to the mobile side.Aiming at the problem that the way of selecting a mobile product channel is relatively lacking,an evaluation scheme of mobile product delivery channel based on fuzzy neural network is proposed.The traditional channel selection is mainly based on the price and experience of a single indicator to consider whether a channel has a value,and because the traditional price indicators and empirical evaluation of the two indicators of imperfect,it is difficult to scientific and comprehensive evaluation of a The overall indicators of the merits of the channel.Based on the traditional channel selection method,this paper extends the evaluation index from the experience of price and expert to the more perfect and scientific level,and further improves the scientific and comprehensive nature of the enterprise judgment and selection channel.Aiming at the blindness and dependence of the data processing and prediction of the neural network and the subjectivity of the expert experience evaluation,this paper puts forward the idea of combining the expert experience and the artificial neural network.This can guarantee the advantages of expert experience to play,but also to ensure the scientific data validation.In this paper,Tencent as an example,the actual needs of enterprises refined into research models.From the perspective of the mobile product delivery channel,according to the history of the product launch channel download,stability,cost data indicators to build a channel fuzzy comprehensive evaluation,combined with the expert score data indicators,the objective of the actual data indicators and expert experience score organic In order to provide a more scientific and rational explanation for the advertising of mobile products.The fuzzy neural network technology is used to input,train and simulate the data,and then the concrete evaluation model is obtained by MATLAB,which provides suggestions and reference for the mobile products advertising.For the first time,this paper combines the technology of fuzzy neural network with the assessment of mobile Internet product channel,and optimizes and transforms it according to the traditional cost theory to adapt to the channel assessment in this field.In the realization of technology,the main application of fuzzy neural network principle to Tencent part of the mobile product delivery data for the sample data,through the MATLAB function toolbox to establish the ANFIS model,after simulation to obtain the evaluation results.The results show that the method can successfully apply the fuzzy neural network technology to the evaluation and channel evaluation of the mobile products of the Internet.